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YAMNet

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  1. .gitattributes +31 -0
  2. YamNet (qualcomm)/.gitattributes +39 -0
  3. YamNet (qualcomm)/DEPLOYMENT_MODEL_LICENSE.pdf +3 -0
  4. YamNet (qualcomm)/LICENSE +2 -0
  5. YamNet (qualcomm)/README.md +255 -0
  6. YamNet (qualcomm)/YamNet_float.dlc +3 -0
  7. YamNet (qualcomm)/YamNet_float.tflite +3 -0
  8. YamNet (qualcomm)/job_jpew9470p_optimized_onnx/model.data +3 -0
  9. YamNet (qualcomm)/job_jpew9470p_optimized_onnx/model.onnx +3 -0
  10. YamNet (qualcomm)/source.txt +2 -0
  11. YamNet (qualcomm)/tool-versions.yaml +4 -0
  12. YamNet (qualcomm)/yamnet.ipynb +0 -0
  13. clapping_yamnet_20240728/.gitattributes +36 -0
  14. clapping_yamnet_20240728/assets/yamnet_class_map.csv +522 -0
  15. clapping_yamnet_20240728/fingerprint.pb +3 -0
  16. clapping_yamnet_20240728/keras_metadata.pb +3 -0
  17. clapping_yamnet_20240728/saved_model.pb +3 -0
  18. clapping_yamnet_20240728/source.txt +1 -0
  19. clapping_yamnet_20240728/variables/variables.data-00000-of-00001 +3 -0
  20. clapping_yamnet_20240728/variables/variables.index +0 -0
  21. clapping_yamnet_20240728_2/.gitattributes +36 -0
  22. clapping_yamnet_20240728_2/assets/yamnet_class_map.csv +522 -0
  23. clapping_yamnet_20240728_2/fingerprint.pb +3 -0
  24. clapping_yamnet_20240728_2/keras_metadata.pb +3 -0
  25. clapping_yamnet_20240728_2/saved_model.pb +3 -0
  26. clapping_yamnet_20240728_2/source.txt +1 -0
  27. clapping_yamnet_20240728_2/variables/variables.data-00000-of-00001 +3 -0
  28. clapping_yamnet_20240728_2/variables/variables.index +0 -0
  29. mobilenet_v1_yamnet_sound_cls_96x64_quant_n2x_cpu_1/.gitattributes +28 -0
  30. mobilenet_v1_yamnet_sound_cls_96x64_quant_n2x_cpu_1/labels_yamnet.json +523 -0
  31. mobilenet_v1_yamnet_sound_cls_96x64_quant_n2x_cpu_1/mobilenet_v1_yamnet_sound_cls_96x64_quant_n2x_cpu_1.json +47 -0
  32. mobilenet_v1_yamnet_sound_cls_96x64_quant_n2x_cpu_1/mobilenet_v1_yamnet_sound_cls_96x64_quant_n2x_cpu_1.n2x +3 -0
  33. mobilenet_v1_yamnet_sound_cls_96x64_quant_n2x_cpu_1/source.txt +1 -0
  34. yamnet/.gitattributes +29 -0
  35. yamnet/README.md +13 -0
  36. yamnet/coral-model_yamnet_classification_coral_1.tflite +3 -0
  37. yamnet/labels_yamnet.txt +523 -0
  38. yamnet/lite-model_yamnet_classification_tflite_1.tflite +3 -0
  39. yamnet/lite-model_yamnet_tflite_1.tflite +3 -0
  40. yamnet/source.txt +1 -0
  41. yamnet/yamnet-tfjs.tar +3 -0
  42. yamnet/yamnet_1.tar +3 -0
  43. yamnetonnx/.gitattributes +35 -0
  44. yamnetonnx/README.md +196 -0
  45. yamnetonnx/source.txt +1 -0
  46. yamnetonnx/yamnet.onnx +3 -0
  47. yamnetonnx/yamnet_class_map.csv +522 -0
  48. yamnetp_ahead_ds/.gitattributes +36 -0
  49. yamnetp_ahead_ds/A dataset and model for recognition of audiologically relevant environments for hearing aids. AHEAD-DS and YAMNet+.pdf +3 -0
  50. yamnetp_ahead_ds/LICENCE.txt +427 -0
.gitattributes CHANGED
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+ YamNet[[:space:]](qualcomm)/DEPLOYMENT_MODEL_LICENSE.pdf filter=lfs diff=lfs merge=lfs -text
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+ YamNet[[:space:]](qualcomm)/job_jpew9470p_optimized_onnx/model.data filter=lfs diff=lfs merge=lfs -text
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+ YamNet[[:space:]](qualcomm)/YamNet_float.dlc filter=lfs diff=lfs merge=lfs -text
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+ yamnetp_ahead_ds/A[[:space:]]dataset[[:space:]]and[[:space:]]model[[:space:]]for[[:space:]]recognition[[:space:]]of[[:space:]]audiologically[[:space:]]relevant[[:space:]]environments[[:space:]]for[[:space:]]hearing[[:space:]]aids.[[:space:]]AHEAD-DS[[:space:]]and[[:space:]]YAMNet+.pdf filter=lfs diff=lfs merge=lfs -text
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+ yamnetp_ahead_ds/yamnetp_ahead_ds_no_smooth.keras filter=lfs diff=lfs merge=lfs -text
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+ yamnetp_ahead_ds/yamnetp_ahead_ds_random.keras filter=lfs diff=lfs merge=lfs -text
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+ yamnetp_ahead_ds/yamnetp_ahead_ds_rms_normalise.keras filter=lfs diff=lfs merge=lfs -text
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+ yamnetp_ahead_ds/yamnetp_ahead_ds_tau_pretrain.keras filter=lfs diff=lfs merge=lfs -text
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+ yamnetp_ahead_ds/yamnetp_ahead_ds_unfreeze_last.keras filter=lfs diff=lfs merge=lfs -text
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+ yamnetp_ahead_ds/yamnetp_ahead_ds_weighted.keras filter=lfs diff=lfs merge=lfs -text
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YamNet (qualcomm)/LICENSE ADDED
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+ The license of the original trained model can be found at https://github.com/w-hc/torch_audioset/blob/master/LICENSE.
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+ The license for the deployable model files (.tflite, .onnx, .dlc, .bin, etc.) can be found in DEPLOYMENT_MODEL_LICENSE.pdf.
YamNet (qualcomm)/README.md ADDED
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+ ---
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+ library_name: pytorch
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+ license: other
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+ tags:
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+ - real_time
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+ - android
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+ pipeline_tag: audio-classification
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+
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+ ---
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+
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+ ![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/yamnet/web-assets/model_demo.png)
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+
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+ # YamNet: Optimized for Mobile Deployment
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+ ## Audio Event classification Model
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+
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+
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+ An audio event classifier trained on the AudioSet dataset to predict audio events from the AudioSet ontology employing the Mobilenet_v1 depthwise-separable convolution architecture.
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+
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+ This model is an implementation of YamNet found [here](https://github.com/w-hc/torch_audioset).
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+
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+
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+ This repository provides scripts to run YamNet on Qualcomm® devices.
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+ More details on model performance across various devices, can be found
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+ [here](https://aihub.qualcomm.com/models/yamnet).
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+
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+
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+
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+ ### Model Details
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+
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+ - **Model Type:** Model_use_case.audio_classification
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+ - **Model Stats:**
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+ - Model checkpoint: yamnet.pth
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+ - Input resolution: 1x1x96x64
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+ - Number of parameters: 3.73M
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+ - Model size (float): 14.2 MB
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+
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+ | Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
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+ |---|---|---|---|---|---|---|---|---|
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+ | YamNet | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 0.662 ms | 0 - 23 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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+ | YamNet | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_DLC | 0.648 ms | 0 - 16 MB | NPU | [YamNet.dlc](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.dlc) |
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+ | YamNet | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 0.319 ms | 0 - 38 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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+ | YamNet | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_DLC | 0.349 ms | 0 - 25 MB | NPU | [YamNet.dlc](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.dlc) |
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+ | YamNet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 0.215 ms | 0 - 73 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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+ | YamNet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_DLC | 0.216 ms | 0 - 53 MB | NPU | [YamNet.dlc](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.dlc) |
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+ | YamNet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | ONNX | 0.372 ms | 0 - 46 MB | NPU | [YamNet.onnx.zip](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.onnx.zip) |
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+ | YamNet | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 0.366 ms | 0 - 23 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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+ | YamNet | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_DLC | 0.361 ms | 0 - 16 MB | NPU | [YamNet.dlc](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.dlc) |
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+ | YamNet | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 0.662 ms | 0 - 23 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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+ | YamNet | float | SA7255P ADP | Qualcomm® SA7255P | QNN_DLC | 0.648 ms | 0 - 16 MB | NPU | [YamNet.dlc](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.dlc) |
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+ | YamNet | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 0.218 ms | 0 - 73 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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+ | YamNet | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN_DLC | 0.215 ms | 0 - 49 MB | NPU | [YamNet.dlc](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.dlc) |
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+ | YamNet | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 0.519 ms | 0 - 30 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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+ | YamNet | float | SA8295P ADP | Qualcomm® SA8295P | QNN_DLC | 0.529 ms | 0 - 22 MB | NPU | [YamNet.dlc](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.dlc) |
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+ | YamNet | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 0.215 ms | 0 - 70 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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+ | YamNet | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN_DLC | 0.214 ms | 0 - 51 MB | NPU | [YamNet.dlc](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.dlc) |
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+ | YamNet | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 0.366 ms | 0 - 23 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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+ | YamNet | float | SA8775P ADP | Qualcomm® SA8775P | QNN_DLC | 0.361 ms | 0 - 16 MB | NPU | [YamNet.dlc](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.dlc) |
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+ | YamNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 0.174 ms | 0 - 36 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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+ | YamNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 0.182 ms | 0 - 21 MB | NPU | [YamNet.dlc](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.dlc) |
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+ | YamNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 0.263 ms | 0 - 28 MB | NPU | [YamNet.onnx.zip](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.onnx.zip) |
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+ | YamNet | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | TFLITE | 0.151 ms | 0 - 30 MB | NPU | [YamNet.tflite](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.tflite) |
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+ | YamNet | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | QNN_DLC | 0.155 ms | 0 - 23 MB | NPU | [YamNet.dlc](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.dlc) |
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+ | YamNet | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | ONNX | 0.247 ms | 0 - 21 MB | NPU | [YamNet.onnx.zip](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.onnx.zip) |
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+ | YamNet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 0.279 ms | 56 - 56 MB | NPU | [YamNet.dlc](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.dlc) |
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+ | YamNet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 0.28 ms | 8 - 8 MB | NPU | [YamNet.onnx.zip](https://huggingface.co/qualcomm/YamNet/blob/main/YamNet.onnx.zip) |
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+
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+
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+
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+
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+ ## Installation
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+
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+
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+ Install the package via pip:
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+ ```bash
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+ pip install "qai-hub-models[yamnet]"
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+ ```
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+
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+
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+ ## Configure Qualcomm® AI Hub to run this model on a cloud-hosted device
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+
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+ Sign-in to [Qualcomm® AI Hub](https://app.aihub.qualcomm.com/) with your
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+ Qualcomm® ID. Once signed in navigate to `Account -> Settings -> API Token`.
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+
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+ With this API token, you can configure your client to run models on the cloud
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+ hosted devices.
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+ ```bash
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+ qai-hub configure --api_token API_TOKEN
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+ ```
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+ Navigate to [docs](https://app.aihub.qualcomm.com/docs/) for more information.
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+
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+
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+
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+ ## Demo off target
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+
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+ The package contains a simple end-to-end demo that downloads pre-trained
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+ weights and runs this model on a sample input.
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+
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+ ```bash
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+ python -m qai_hub_models.models.yamnet.demo
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+ ```
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+
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+ The above demo runs a reference implementation of pre-processing, model
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+ inference, and post processing.
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+
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+ **NOTE**: If you want running in a Jupyter Notebook or Google Colab like
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+ environment, please add the following to your cell (instead of the above).
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+ ```
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+ %run -m qai_hub_models.models.yamnet.demo
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+ ```
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+
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+
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+ ### Run model on a cloud-hosted device
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+
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+ In addition to the demo, you can also run the model on a cloud-hosted Qualcomm®
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+ device. This script does the following:
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+ * Performance check on-device on a cloud-hosted device
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+ * Downloads compiled assets that can be deployed on-device for Android.
118
+ * Accuracy check between PyTorch and on-device outputs.
119
+
120
+ ```bash
121
+ python -m qai_hub_models.models.yamnet.export
122
+ ```
123
+
124
+
125
+
126
+ ## How does this work?
127
+
128
+ This [export script](https://aihub.qualcomm.com/models/yamnet/qai_hub_models/models/YamNet/export.py)
129
+ leverages [Qualcomm® AI Hub](https://aihub.qualcomm.com/) to optimize, validate, and deploy this model
130
+ on-device. Lets go through each step below in detail:
131
+
132
+ Step 1: **Compile model for on-device deployment**
133
+
134
+ To compile a PyTorch model for on-device deployment, we first trace the model
135
+ in memory using the `jit.trace` and then call the `submit_compile_job` API.
136
+
137
+ ```python
138
+ import torch
139
+
140
+ import qai_hub as hub
141
+ from qai_hub_models.models.yamnet import Model
142
+
143
+ # Load the model
144
+ torch_model = Model.from_pretrained()
145
+
146
+ # Device
147
+ device = hub.Device("Samsung Galaxy S25")
148
+
149
+ # Trace model
150
+ input_shape = torch_model.get_input_spec()
151
+ sample_inputs = torch_model.sample_inputs()
152
+
153
+ pt_model = torch.jit.trace(torch_model, [torch.tensor(data[0]) for _, data in sample_inputs.items()])
154
+
155
+ # Compile model on a specific device
156
+ compile_job = hub.submit_compile_job(
157
+ model=pt_model,
158
+ device=device,
159
+ input_specs=torch_model.get_input_spec(),
160
+ )
161
+
162
+ # Get target model to run on-device
163
+ target_model = compile_job.get_target_model()
164
+
165
+ ```
166
+
167
+
168
+ Step 2: **Performance profiling on cloud-hosted device**
169
+
170
+ After compiling models from step 1. Models can be profiled model on-device using the
171
+ `target_model`. Note that this scripts runs the model on a device automatically
172
+ provisioned in the cloud. Once the job is submitted, you can navigate to a
173
+ provided job URL to view a variety of on-device performance metrics.
174
+ ```python
175
+ profile_job = hub.submit_profile_job(
176
+ model=target_model,
177
+ device=device,
178
+ )
179
+
180
+ ```
181
+
182
+ Step 3: **Verify on-device accuracy**
183
+
184
+ To verify the accuracy of the model on-device, you can run on-device inference
185
+ on sample input data on the same cloud hosted device.
186
+ ```python
187
+ input_data = torch_model.sample_inputs()
188
+ inference_job = hub.submit_inference_job(
189
+ model=target_model,
190
+ device=device,
191
+ inputs=input_data,
192
+ )
193
+ on_device_output = inference_job.download_output_data()
194
+
195
+ ```
196
+ With the output of the model, you can compute like PSNR, relative errors or
197
+ spot check the output with expected output.
198
+
199
+ **Note**: This on-device profiling and inference requires access to Qualcomm®
200
+ AI Hub. [Sign up for access](https://myaccount.qualcomm.com/signup).
201
+
202
+
203
+
204
+ ## Run demo on a cloud-hosted device
205
+
206
+ You can also run the demo on-device.
207
+
208
+ ```bash
209
+ python -m qai_hub_models.models.yamnet.demo --eval-mode on-device
210
+ ```
211
+
212
+ **NOTE**: If you want running in a Jupyter Notebook or Google Colab like
213
+ environment, please add the following to your cell (instead of the above).
214
+ ```
215
+ %run -m qai_hub_models.models.yamnet.demo -- --eval-mode on-device
216
+ ```
217
+
218
+
219
+ ## Deploying compiled model to Android
220
+
221
+
222
+ The models can be deployed using multiple runtimes:
223
+ - TensorFlow Lite (`.tflite` export): [This
224
+ tutorial](https://www.tensorflow.org/lite/android/quickstart) provides a
225
+ guide to deploy the .tflite model in an Android application.
226
+
227
+
228
+ - QNN (`.so` export ): This [sample
229
+ app](https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-50/sample_app.html)
230
+ provides instructions on how to use the `.so` shared library in an Android application.
231
+
232
+
233
+ ## View on Qualcomm® AI Hub
234
+ Get more details on YamNet's performance across various devices [here](https://aihub.qualcomm.com/models/yamnet).
235
+ Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
236
+
237
+
238
+ ## License
239
+ * The license for the original implementation of YamNet can be found
240
+ [here](https://github.com/w-hc/torch_audioset/blob/master/LICENSE).
241
+ * The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf)
242
+
243
+
244
+
245
+ ## References
246
+ * [MobileNets Efficient Convolutional Neural Networks for Mobile Vision Applications](https://arxiv.org/abs/1704.04861)
247
+ * [Source Model Implementation](https://github.com/w-hc/torch_audioset)
248
+
249
+
250
+
251
+ ## Community
252
+ * Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
253
+ * For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).
254
+
255
+
YamNet (qualcomm)/YamNet_float.dlc ADDED
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YamNet (qualcomm)/source.txt ADDED
@@ -0,0 +1,2 @@
 
 
 
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+ https://kaggle.com/code/kerneler/sound-classification-with-yamnet
YamNet (qualcomm)/tool-versions.yaml ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
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+ tool_versions:
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+ onnx:
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+ qairt: 2.37.1.250807093845_124904
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+ onnx_runtime: 1.22.2
YamNet (qualcomm)/yamnet.ipynb ADDED
The diff for this file is too large to render. See raw diff
 
clapping_yamnet_20240728/.gitattributes ADDED
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.pickle filter=lfs diff=lfs merge=lfs -text
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+ *.pt filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ index,mid,display_name
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+ 0,/m/09x0r,Speech
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+ 1,/m/0ytgt,"Child speech, kid speaking"
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+ 3,/m/02qldy,"Narration, monologue"
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+ 4,/m/0261r1,Babbling
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+ 5,/m/0brhx,Speech synthesizer
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+ 6,/m/07p6fty,Shout
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+ 9,/m/07sr1lc,Yell
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+ 10,/t/dd00135,Children shouting
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+ 11,/m/03qc9zr,Screaming
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+ 14,/t/dd00001,Baby laughter
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+ 15,/m/07r660_,Giggle
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+ 16,/m/07s04w4,Snicker
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+ 17,/m/07sq110,Belly laugh
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+ 18,/m/07rgt08,"Chuckle, chortle"
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+ 19,/m/0463cq4,"Crying, sobbing"
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+ 20,/t/dd00002,"Baby cry, infant cry"
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+ 21,/m/07qz6j3,Whimper
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+ 22,/m/07qw_06,"Wail, moan"
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+ 23,/m/07plz5l,Sigh
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+ 25,/m/0l14jd,Choir
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34
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47
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58
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59
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60
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61
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70
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72
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73
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75
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81
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89
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90
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91
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94
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95
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100
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104
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105
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118
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123
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126
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128
+ 126,/m/01h3n,"Bee, wasp, etc."
129
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130
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131
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132
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133
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138
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139
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140
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141
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142
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143
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144
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145
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146
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147
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148
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149
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150
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151
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153
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155
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156
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157
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158
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159
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160
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161
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162
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163
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164
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165
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168
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169
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170
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171
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172
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175
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177
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180
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181
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182
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183
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184
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185
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186
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189
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190
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191
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192
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193
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194
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195
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196
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197
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198
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201
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202
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203
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204
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207
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208
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209
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210
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219
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222
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223
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229
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239
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247
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250
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254
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255
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256
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258
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260
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261
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274
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275
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276
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277
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278
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279
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280
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281
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282
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283
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284
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285
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286
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287
+ 285,/t/dd00038,Rain on surface
288
+ 286,/m/0j6m2,Stream
289
+ 287,/m/0j2kx,Waterfall
290
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291
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292
+ 290,/m/06wzb,Steam
293
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294
+ 292,/m/02_41,Fire
295
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296
+ 294,/m/07yv9,Vehicle
297
+ 295,/m/019jd,"Boat, Water vehicle"
298
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299
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300
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301
+ 299,/m/06q74,Ship
302
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306
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308
+ 306,/m/07rknqz,Skidding
309
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312
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314
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315
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+ 314,/m/03cl9h,"Ice cream truck, ice cream van"
317
+ 315,/m/01bjv,Bus
318
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319
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320
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321
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322
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323
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325
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326
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327
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328
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329
+ 327,/t/dd00048,Train wheels squealing
330
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331
+ 329,/m/0k5j,Aircraft
332
+ 330,/m/014yck,Aircraft engine
333
+ 331,/m/04229,Jet engine
334
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335
+ 333,/m/09ct_,Helicopter
336
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337
+ 335,/m/0199g,Bicycle
338
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339
+ 337,/m/02mk9,Engine
340
+ 338,/t/dd00065,Light engine (high frequency)
341
+ 339,/m/08j51y,"Dental drill, dentist's drill"
342
+ 340,/m/01yg9g,Lawn mower
343
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344
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345
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346
+ 344,/m/01h82_,Engine knocking
347
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348
+ 346,/m/07pb8fc,Idling
349
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350
+ 348,/m/02dgv,Door
351
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352
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353
+ 351,/m/02y_763,Sliding door
354
+ 352,/m/07rjzl8,Slam
355
+ 353,/m/07r4wb8,Knock
356
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357
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358
+ 356,/m/0642b4,Cupboard open or close
359
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360
+ 358,/m/04brg2,"Dishes, pots, and pans"
361
+ 359,/m/023pjk,"Cutlery, silverware"
362
+ 360,/m/07pn_8q,Chopping (food)
363
+ 361,/m/0dxrf,Frying (food)
364
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365
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374
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380
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381
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382
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383
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385
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387
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388
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389
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393
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397
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398
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399
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400
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402
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404
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408
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409
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410
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411
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412
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413
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414
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419
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421
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428
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429
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433
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436
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438
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440
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441
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443
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444
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448
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452
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453
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454
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455
+ 453,/m/07rqsjt,"Whoosh, swoosh, swish"
456
+ 454,/m/07qnq_y,"Thump, thud"
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461
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+ 463,/m/07pjjrj,"Smash, crash"
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467
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469
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473
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474
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475
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476
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477
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480
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481
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482
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483
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484
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485
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486
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488
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489
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491
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492
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493
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494
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495
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496
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497
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498
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499
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500
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501
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502
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503
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504
+ 502,/t/dd00127,"Inside, public space"
505
+ 503,/t/dd00128,"Outside, urban or manmade"
506
+ 504,/t/dd00129,"Outside, rural or natural"
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509
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510
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512
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513
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514
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515
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516
+ 514,/m/0chx_,White noise
517
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518
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519
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520
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521
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522
+ 520,/m/07hvw1,Field recording
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1
+ index,mid,display_name
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+ 5,/m/0brhx,Speech synthesizer
8
+ 6,/m/07p6fty,Shout
9
+ 7,/m/07q4ntr,Bellow
10
+ 8,/m/07rwj3x,Whoop
11
+ 9,/m/07sr1lc,Yell
12
+ 10,/t/dd00135,Children shouting
13
+ 11,/m/03qc9zr,Screaming
14
+ 12,/m/02rtxlg,Whispering
15
+ 13,/m/01j3sz,Laughter
16
+ 14,/t/dd00001,Baby laughter
17
+ 15,/m/07r660_,Giggle
18
+ 16,/m/07s04w4,Snicker
19
+ 17,/m/07sq110,Belly laugh
20
+ 18,/m/07rgt08,"Chuckle, chortle"
21
+ 19,/m/0463cq4,"Crying, sobbing"
22
+ 20,/t/dd00002,"Baby cry, infant cry"
23
+ 21,/m/07qz6j3,Whimper
24
+ 22,/m/07qw_06,"Wail, moan"
25
+ 23,/m/07plz5l,Sigh
26
+ 24,/m/015lz1,Singing
27
+ 25,/m/0l14jd,Choir
28
+ 26,/m/01swy6,Yodeling
29
+ 27,/m/02bk07,Chant
30
+ 28,/m/01c194,Mantra
31
+ 29,/t/dd00005,Child singing
32
+ 30,/t/dd00006,Synthetic singing
33
+ 31,/m/06bxc,Rapping
34
+ 32,/m/02fxyj,Humming
35
+ 33,/m/07s2xch,Groan
36
+ 34,/m/07r4k75,Grunt
37
+ 35,/m/01w250,Whistling
38
+ 36,/m/0lyf6,Breathing
39
+ 37,/m/07mzm6,Wheeze
40
+ 38,/m/01d3sd,Snoring
41
+ 39,/m/07s0dtb,Gasp
42
+ 40,/m/07pyy8b,Pant
43
+ 41,/m/07q0yl5,Snort
44
+ 42,/m/01b_21,Cough
45
+ 43,/m/0dl9sf8,Throat clearing
46
+ 44,/m/01hsr_,Sneeze
47
+ 45,/m/07ppn3j,Sniff
48
+ 46,/m/06h7j,Run
49
+ 47,/m/07qv_x_,Shuffle
50
+ 48,/m/07pbtc8,"Walk, footsteps"
51
+ 49,/m/03cczk,"Chewing, mastication"
52
+ 50,/m/07pdhp0,Biting
53
+ 51,/m/0939n_,Gargling
54
+ 52,/m/01g90h,Stomach rumble
55
+ 53,/m/03q5_w,"Burping, eructation"
56
+ 54,/m/02p3nc,Hiccup
57
+ 55,/m/02_nn,Fart
58
+ 56,/m/0k65p,Hands
59
+ 57,/m/025_jnm,Finger snapping
60
+ 58,/m/0l15bq,Clapping
61
+ 59,/m/01jg02,"Heart sounds, heartbeat"
62
+ 60,/m/01jg1z,Heart murmur
63
+ 61,/m/053hz1,Cheering
64
+ 62,/m/028ght,Applause
65
+ 63,/m/07rkbfh,Chatter
66
+ 64,/m/03qtwd,Crowd
67
+ 65,/m/07qfr4h,"Hubbub, speech noise, speech babble"
68
+ 66,/t/dd00013,Children playing
69
+ 67,/m/0jbk,Animal
70
+ 68,/m/068hy,"Domestic animals, pets"
71
+ 69,/m/0bt9lr,Dog
72
+ 70,/m/05tny_,Bark
73
+ 71,/m/07r_k2n,Yip
74
+ 72,/m/07qf0zm,Howl
75
+ 73,/m/07rc7d9,Bow-wow
76
+ 74,/m/0ghcn6,Growling
77
+ 75,/t/dd00136,Whimper (dog)
78
+ 76,/m/01yrx,Cat
79
+ 77,/m/02yds9,Purr
80
+ 78,/m/07qrkrw,Meow
81
+ 79,/m/07rjwbb,Hiss
82
+ 80,/m/07r81j2,Caterwaul
83
+ 81,/m/0ch8v,"Livestock, farm animals, working animals"
84
+ 82,/m/03k3r,Horse
85
+ 83,/m/07rv9rh,Clip-clop
86
+ 84,/m/07q5rw0,"Neigh, whinny"
87
+ 85,/m/01xq0k1,"Cattle, bovinae"
88
+ 86,/m/07rpkh9,Moo
89
+ 87,/m/0239kh,Cowbell
90
+ 88,/m/068zj,Pig
91
+ 89,/t/dd00018,Oink
92
+ 90,/m/03fwl,Goat
93
+ 91,/m/07q0h5t,Bleat
94
+ 92,/m/07bgp,Sheep
95
+ 93,/m/025rv6n,Fowl
96
+ 94,/m/09b5t,"Chicken, rooster"
97
+ 95,/m/07st89h,Cluck
98
+ 96,/m/07qn5dc,"Crowing, cock-a-doodle-doo"
99
+ 97,/m/01rd7k,Turkey
100
+ 98,/m/07svc2k,Gobble
101
+ 99,/m/09ddx,Duck
102
+ 100,/m/07qdb04,Quack
103
+ 101,/m/0dbvp,Goose
104
+ 102,/m/07qwf61,Honk
105
+ 103,/m/01280g,Wild animals
106
+ 104,/m/0cdnk,"Roaring cats (lions, tigers)"
107
+ 105,/m/04cvmfc,Roar
108
+ 106,/m/015p6,Bird
109
+ 107,/m/020bb7,"Bird vocalization, bird call, bird song"
110
+ 108,/m/07pggtn,"Chirp, tweet"
111
+ 109,/m/07sx8x_,Squawk
112
+ 110,/m/0h0rv,"Pigeon, dove"
113
+ 111,/m/07r_25d,Coo
114
+ 112,/m/04s8yn,Crow
115
+ 113,/m/07r5c2p,Caw
116
+ 114,/m/09d5_,Owl
117
+ 115,/m/07r_80w,Hoot
118
+ 116,/m/05_wcq,"Bird flight, flapping wings"
119
+ 117,/m/01z5f,"Canidae, dogs, wolves"
120
+ 118,/m/06hps,"Rodents, rats, mice"
121
+ 119,/m/04rmv,Mouse
122
+ 120,/m/07r4gkf,Patter
123
+ 121,/m/03vt0,Insect
124
+ 122,/m/09xqv,Cricket
125
+ 123,/m/09f96,Mosquito
126
+ 124,/m/0h2mp,"Fly, housefly"
127
+ 125,/m/07pjwq1,Buzz
128
+ 126,/m/01h3n,"Bee, wasp, etc."
129
+ 127,/m/09ld4,Frog
130
+ 128,/m/07st88b,Croak
131
+ 129,/m/078jl,Snake
132
+ 130,/m/07qn4z3,Rattle
133
+ 131,/m/032n05,Whale vocalization
134
+ 132,/m/04rlf,Music
135
+ 133,/m/04szw,Musical instrument
136
+ 134,/m/0fx80y,Plucked string instrument
137
+ 135,/m/0342h,Guitar
138
+ 136,/m/02sgy,Electric guitar
139
+ 137,/m/018vs,Bass guitar
140
+ 138,/m/042v_gx,Acoustic guitar
141
+ 139,/m/06w87,"Steel guitar, slide guitar"
142
+ 140,/m/01glhc,Tapping (guitar technique)
143
+ 141,/m/07s0s5r,Strum
144
+ 142,/m/018j2,Banjo
145
+ 143,/m/0jtg0,Sitar
146
+ 144,/m/04rzd,Mandolin
147
+ 145,/m/01bns_,Zither
148
+ 146,/m/07xzm,Ukulele
149
+ 147,/m/05148p4,Keyboard (musical)
150
+ 148,/m/05r5c,Piano
151
+ 149,/m/01s0ps,Electric piano
152
+ 150,/m/013y1f,Organ
153
+ 151,/m/03xq_f,Electronic organ
154
+ 152,/m/03gvt,Hammond organ
155
+ 153,/m/0l14qv,Synthesizer
156
+ 154,/m/01v1d8,Sampler
157
+ 155,/m/03q5t,Harpsichord
158
+ 156,/m/0l14md,Percussion
159
+ 157,/m/02hnl,Drum kit
160
+ 158,/m/0cfdd,Drum machine
161
+ 159,/m/026t6,Drum
162
+ 160,/m/06rvn,Snare drum
163
+ 161,/m/03t3fj,Rimshot
164
+ 162,/m/02k_mr,Drum roll
165
+ 163,/m/0bm02,Bass drum
166
+ 164,/m/011k_j,Timpani
167
+ 165,/m/01p970,Tabla
168
+ 166,/m/01qbl,Cymbal
169
+ 167,/m/03qtq,Hi-hat
170
+ 168,/m/01sm1g,Wood block
171
+ 169,/m/07brj,Tambourine
172
+ 170,/m/05r5wn,Rattle (instrument)
173
+ 171,/m/0xzly,Maraca
174
+ 172,/m/0mbct,Gong
175
+ 173,/m/016622,Tubular bells
176
+ 174,/m/0j45pbj,Mallet percussion
177
+ 175,/m/0dwsp,"Marimba, xylophone"
178
+ 176,/m/0dwtp,Glockenspiel
179
+ 177,/m/0dwt5,Vibraphone
180
+ 178,/m/0l156b,Steelpan
181
+ 179,/m/05pd6,Orchestra
182
+ 180,/m/01kcd,Brass instrument
183
+ 181,/m/0319l,French horn
184
+ 182,/m/07gql,Trumpet
185
+ 183,/m/07c6l,Trombone
186
+ 184,/m/0l14_3,Bowed string instrument
187
+ 185,/m/02qmj0d,String section
188
+ 186,/m/07y_7,"Violin, fiddle"
189
+ 187,/m/0d8_n,Pizzicato
190
+ 188,/m/01xqw,Cello
191
+ 189,/m/02fsn,Double bass
192
+ 190,/m/085jw,"Wind instrument, woodwind instrument"
193
+ 191,/m/0l14j_,Flute
194
+ 192,/m/06ncr,Saxophone
195
+ 193,/m/01wy6,Clarinet
196
+ 194,/m/03m5k,Harp
197
+ 195,/m/0395lw,Bell
198
+ 196,/m/03w41f,Church bell
199
+ 197,/m/027m70_,Jingle bell
200
+ 198,/m/0gy1t2s,Bicycle bell
201
+ 199,/m/07n_g,Tuning fork
202
+ 200,/m/0f8s22,Chime
203
+ 201,/m/026fgl,Wind chime
204
+ 202,/m/0150b9,Change ringing (campanology)
205
+ 203,/m/03qjg,Harmonica
206
+ 204,/m/0mkg,Accordion
207
+ 205,/m/0192l,Bagpipes
208
+ 206,/m/02bxd,Didgeridoo
209
+ 207,/m/0l14l2,Shofar
210
+ 208,/m/07kc_,Theremin
211
+ 209,/m/0l14t7,Singing bowl
212
+ 210,/m/01hgjl,Scratching (performance technique)
213
+ 211,/m/064t9,Pop music
214
+ 212,/m/0glt670,Hip hop music
215
+ 213,/m/02cz_7,Beatboxing
216
+ 214,/m/06by7,Rock music
217
+ 215,/m/03lty,Heavy metal
218
+ 216,/m/05r6t,Punk rock
219
+ 217,/m/0dls3,Grunge
220
+ 218,/m/0dl5d,Progressive rock
221
+ 219,/m/07sbbz2,Rock and roll
222
+ 220,/m/05w3f,Psychedelic rock
223
+ 221,/m/06j6l,Rhythm and blues
224
+ 222,/m/0gywn,Soul music
225
+ 223,/m/06cqb,Reggae
226
+ 224,/m/01lyv,Country
227
+ 225,/m/015y_n,Swing music
228
+ 226,/m/0gg8l,Bluegrass
229
+ 227,/m/02x8m,Funk
230
+ 228,/m/02w4v,Folk music
231
+ 229,/m/06j64v,Middle Eastern music
232
+ 230,/m/03_d0,Jazz
233
+ 231,/m/026z9,Disco
234
+ 232,/m/0ggq0m,Classical music
235
+ 233,/m/05lls,Opera
236
+ 234,/m/02lkt,Electronic music
237
+ 235,/m/03mb9,House music
238
+ 236,/m/07gxw,Techno
239
+ 237,/m/07s72n,Dubstep
240
+ 238,/m/0283d,Drum and bass
241
+ 239,/m/0m0jc,Electronica
242
+ 240,/m/08cyft,Electronic dance music
243
+ 241,/m/0fd3y,Ambient music
244
+ 242,/m/07lnk,Trance music
245
+ 243,/m/0g293,Music of Latin America
246
+ 244,/m/0ln16,Salsa music
247
+ 245,/m/0326g,Flamenco
248
+ 246,/m/0155w,Blues
249
+ 247,/m/05fw6t,Music for children
250
+ 248,/m/02v2lh,New-age music
251
+ 249,/m/0y4f8,Vocal music
252
+ 250,/m/0z9c,A capella
253
+ 251,/m/0164x2,Music of Africa
254
+ 252,/m/0145m,Afrobeat
255
+ 253,/m/02mscn,Christian music
256
+ 254,/m/016cjb,Gospel music
257
+ 255,/m/028sqc,Music of Asia
258
+ 256,/m/015vgc,Carnatic music
259
+ 257,/m/0dq0md,Music of Bollywood
260
+ 258,/m/06rqw,Ska
261
+ 259,/m/02p0sh1,Traditional music
262
+ 260,/m/05rwpb,Independent music
263
+ 261,/m/074ft,Song
264
+ 262,/m/025td0t,Background music
265
+ 263,/m/02cjck,Theme music
266
+ 264,/m/03r5q_,Jingle (music)
267
+ 265,/m/0l14gg,Soundtrack music
268
+ 266,/m/07pkxdp,Lullaby
269
+ 267,/m/01z7dr,Video game music
270
+ 268,/m/0140xf,Christmas music
271
+ 269,/m/0ggx5q,Dance music
272
+ 270,/m/04wptg,Wedding music
273
+ 271,/t/dd00031,Happy music
274
+ 272,/t/dd00033,Sad music
275
+ 273,/t/dd00034,Tender music
276
+ 274,/t/dd00035,Exciting music
277
+ 275,/t/dd00036,Angry music
278
+ 276,/t/dd00037,Scary music
279
+ 277,/m/03m9d0z,Wind
280
+ 278,/m/09t49,Rustling leaves
281
+ 279,/t/dd00092,Wind noise (microphone)
282
+ 280,/m/0jb2l,Thunderstorm
283
+ 281,/m/0ngt1,Thunder
284
+ 282,/m/0838f,Water
285
+ 283,/m/06mb1,Rain
286
+ 284,/m/07r10fb,Raindrop
287
+ 285,/t/dd00038,Rain on surface
288
+ 286,/m/0j6m2,Stream
289
+ 287,/m/0j2kx,Waterfall
290
+ 288,/m/05kq4,Ocean
291
+ 289,/m/034srq,"Waves, surf"
292
+ 290,/m/06wzb,Steam
293
+ 291,/m/07swgks,Gurgling
294
+ 292,/m/02_41,Fire
295
+ 293,/m/07pzfmf,Crackle
296
+ 294,/m/07yv9,Vehicle
297
+ 295,/m/019jd,"Boat, Water vehicle"
298
+ 296,/m/0hsrw,"Sailboat, sailing ship"
299
+ 297,/m/056ks2,"Rowboat, canoe, kayak"
300
+ 298,/m/02rlv9,"Motorboat, speedboat"
301
+ 299,/m/06q74,Ship
302
+ 300,/m/012f08,Motor vehicle (road)
303
+ 301,/m/0k4j,Car
304
+ 302,/m/0912c9,"Vehicle horn, car horn, honking"
305
+ 303,/m/07qv_d5,Toot
306
+ 304,/m/02mfyn,Car alarm
307
+ 305,/m/04gxbd,"Power windows, electric windows"
308
+ 306,/m/07rknqz,Skidding
309
+ 307,/m/0h9mv,Tire squeal
310
+ 308,/t/dd00134,Car passing by
311
+ 309,/m/0ltv,"Race car, auto racing"
312
+ 310,/m/07r04,Truck
313
+ 311,/m/0gvgw0,Air brake
314
+ 312,/m/05x_td,"Air horn, truck horn"
315
+ 313,/m/02rhddq,Reversing beeps
316
+ 314,/m/03cl9h,"Ice cream truck, ice cream van"
317
+ 315,/m/01bjv,Bus
318
+ 316,/m/03j1ly,Emergency vehicle
319
+ 317,/m/04qvtq,Police car (siren)
320
+ 318,/m/012n7d,Ambulance (siren)
321
+ 319,/m/012ndj,"Fire engine, fire truck (siren)"
322
+ 320,/m/04_sv,Motorcycle
323
+ 321,/m/0btp2,"Traffic noise, roadway noise"
324
+ 322,/m/06d_3,Rail transport
325
+ 323,/m/07jdr,Train
326
+ 324,/m/04zmvq,Train whistle
327
+ 325,/m/0284vy3,Train horn
328
+ 326,/m/01g50p,"Railroad car, train wagon"
329
+ 327,/t/dd00048,Train wheels squealing
330
+ 328,/m/0195fx,"Subway, metro, underground"
331
+ 329,/m/0k5j,Aircraft
332
+ 330,/m/014yck,Aircraft engine
333
+ 331,/m/04229,Jet engine
334
+ 332,/m/02l6bg,"Propeller, airscrew"
335
+ 333,/m/09ct_,Helicopter
336
+ 334,/m/0cmf2,"Fixed-wing aircraft, airplane"
337
+ 335,/m/0199g,Bicycle
338
+ 336,/m/06_fw,Skateboard
339
+ 337,/m/02mk9,Engine
340
+ 338,/t/dd00065,Light engine (high frequency)
341
+ 339,/m/08j51y,"Dental drill, dentist's drill"
342
+ 340,/m/01yg9g,Lawn mower
343
+ 341,/m/01j4z9,Chainsaw
344
+ 342,/t/dd00066,Medium engine (mid frequency)
345
+ 343,/t/dd00067,Heavy engine (low frequency)
346
+ 344,/m/01h82_,Engine knocking
347
+ 345,/t/dd00130,Engine starting
348
+ 346,/m/07pb8fc,Idling
349
+ 347,/m/07q2z82,"Accelerating, revving, vroom"
350
+ 348,/m/02dgv,Door
351
+ 349,/m/03wwcy,Doorbell
352
+ 350,/m/07r67yg,Ding-dong
353
+ 351,/m/02y_763,Sliding door
354
+ 352,/m/07rjzl8,Slam
355
+ 353,/m/07r4wb8,Knock
356
+ 354,/m/07qcpgn,Tap
357
+ 355,/m/07q6cd_,Squeak
358
+ 356,/m/0642b4,Cupboard open or close
359
+ 357,/m/0fqfqc,Drawer open or close
360
+ 358,/m/04brg2,"Dishes, pots, and pans"
361
+ 359,/m/023pjk,"Cutlery, silverware"
362
+ 360,/m/07pn_8q,Chopping (food)
363
+ 361,/m/0dxrf,Frying (food)
364
+ 362,/m/0fx9l,Microwave oven
365
+ 363,/m/02pjr4,Blender
366
+ 364,/m/02jz0l,"Water tap, faucet"
367
+ 365,/m/0130jx,Sink (filling or washing)
368
+ 366,/m/03dnzn,Bathtub (filling or washing)
369
+ 367,/m/03wvsk,Hair dryer
370
+ 368,/m/01jt3m,Toilet flush
371
+ 369,/m/012xff,Toothbrush
372
+ 370,/m/04fgwm,Electric toothbrush
373
+ 371,/m/0d31p,Vacuum cleaner
374
+ 372,/m/01s0vc,Zipper (clothing)
375
+ 373,/m/03v3yw,Keys jangling
376
+ 374,/m/0242l,Coin (dropping)
377
+ 375,/m/01lsmm,Scissors
378
+ 376,/m/02g901,"Electric shaver, electric razor"
379
+ 377,/m/05rj2,Shuffling cards
380
+ 378,/m/0316dw,Typing
381
+ 379,/m/0c2wf,Typewriter
382
+ 380,/m/01m2v,Computer keyboard
383
+ 381,/m/081rb,Writing
384
+ 382,/m/07pp_mv,Alarm
385
+ 383,/m/07cx4,Telephone
386
+ 384,/m/07pp8cl,Telephone bell ringing
387
+ 385,/m/01hnzm,Ringtone
388
+ 386,/m/02c8p,"Telephone dialing, DTMF"
389
+ 387,/m/015jpf,Dial tone
390
+ 388,/m/01z47d,Busy signal
391
+ 389,/m/046dlr,Alarm clock
392
+ 390,/m/03kmc9,Siren
393
+ 391,/m/0dgbq,Civil defense siren
394
+ 392,/m/030rvx,Buzzer
395
+ 393,/m/01y3hg,"Smoke detector, smoke alarm"
396
+ 394,/m/0c3f7m,Fire alarm
397
+ 395,/m/04fq5q,Foghorn
398
+ 396,/m/0l156k,Whistle
399
+ 397,/m/06hck5,Steam whistle
400
+ 398,/t/dd00077,Mechanisms
401
+ 399,/m/02bm9n,"Ratchet, pawl"
402
+ 400,/m/01x3z,Clock
403
+ 401,/m/07qjznt,Tick
404
+ 402,/m/07qjznl,Tick-tock
405
+ 403,/m/0l7xg,Gears
406
+ 404,/m/05zc1,Pulleys
407
+ 405,/m/0llzx,Sewing machine
408
+ 406,/m/02x984l,Mechanical fan
409
+ 407,/m/025wky1,Air conditioning
410
+ 408,/m/024dl,Cash register
411
+ 409,/m/01m4t,Printer
412
+ 410,/m/0dv5r,Camera
413
+ 411,/m/07bjf,Single-lens reflex camera
414
+ 412,/m/07k1x,Tools
415
+ 413,/m/03l9g,Hammer
416
+ 414,/m/03p19w,Jackhammer
417
+ 415,/m/01b82r,Sawing
418
+ 416,/m/02p01q,Filing (rasp)
419
+ 417,/m/023vsd,Sanding
420
+ 418,/m/0_ksk,Power tool
421
+ 419,/m/01d380,Drill
422
+ 420,/m/014zdl,Explosion
423
+ 421,/m/032s66,"Gunshot, gunfire"
424
+ 422,/m/04zjc,Machine gun
425
+ 423,/m/02z32qm,Fusillade
426
+ 424,/m/0_1c,Artillery fire
427
+ 425,/m/073cg4,Cap gun
428
+ 426,/m/0g6b5,Fireworks
429
+ 427,/g/122z_qxw,Firecracker
430
+ 428,/m/07qsvvw,"Burst, pop"
431
+ 429,/m/07pxg6y,Eruption
432
+ 430,/m/07qqyl4,Boom
433
+ 431,/m/083vt,Wood
434
+ 432,/m/07pczhz,Chop
435
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+ {
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+ "225": "Swing music",
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+ "227": "Funk",
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+ "228": "Folk music",
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+ "229": "Middle Eastern music",
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+ "267": "Video game music",
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+ "334": "Fixed-wing aircraft",
337
+ "335": "Bicycle",
338
+ "336": "Skateboard",
339
+ "337": "Engine",
340
+ "338": "Light engine (high frequency)",
341
+ "339": "Dental drill",
342
+ "340": "Lawn mower",
343
+ "341": "Chainsaw",
344
+ "342": "Medium engine (mid frequency)",
345
+ "343": "Heavy engine (low frequency)",
346
+ "344": "Engine knocking",
347
+ "345": "Engine starting",
348
+ "346": "Idling",
349
+ "347": "Accelerating",
350
+ "348": "Door",
351
+ "349": "Doorbell",
352
+ "350": "Ding-dong",
353
+ "351": "Sliding door",
354
+ "352": "Slam",
355
+ "353": "Knock",
356
+ "354": "Tap",
357
+ "355": "Squeak",
358
+ "356": "Cupboard open or close",
359
+ "357": "Drawer open or close",
360
+ "358": "Dishes",
361
+ "359": "Cutlery",
362
+ "360": "Chopping (food)",
363
+ "361": "Frying (food)",
364
+ "362": "Microwave oven",
365
+ "363": "Blender",
366
+ "364": "Water tap",
367
+ "365": "Sink (filling or washing)",
368
+ "366": "Bathtub (filling or washing)",
369
+ "367": "Hair dryer",
370
+ "368": "Toilet flush",
371
+ "369": "Toothbrush",
372
+ "370": "Electric toothbrush",
373
+ "371": "Vacuum cleaner",
374
+ "372": "Zipper (clothing)",
375
+ "373": "Keys jangling",
376
+ "374": "Coin (dropping)",
377
+ "375": "Scissors",
378
+ "376": "Electric shaver",
379
+ "377": "Shuffling cards",
380
+ "378": "Typing",
381
+ "379": "Typewriter",
382
+ "380": "Computer keyboard",
383
+ "381": "Writing",
384
+ "382": "Alarm",
385
+ "383": "Telephone",
386
+ "384": "Telephone bell ringing",
387
+ "385": "Ringtone",
388
+ "386": "Telephone dialing",
389
+ "387": "Dial tone",
390
+ "388": "Busy signal",
391
+ "389": "Alarm clock",
392
+ "390": "Siren",
393
+ "391": "Civil defense siren",
394
+ "392": "Buzzer",
395
+ "393": "Smoke detector",
396
+ "394": "Fire alarm",
397
+ "395": "Foghorn",
398
+ "396": "Whistle",
399
+ "397": "Steam whistle",
400
+ "398": "Mechanisms",
401
+ "399": "Ratchet",
402
+ "400": "Clock",
403
+ "401": "Tick",
404
+ "402": "Tick-tock",
405
+ "403": "Gears",
406
+ "404": "Pulleys",
407
+ "405": "Sewing machine",
408
+ "406": "Mechanical fan",
409
+ "407": "Air conditioning",
410
+ "408": "Cash register",
411
+ "409": "Printer",
412
+ "410": "Camera",
413
+ "411": "Single-lens reflex camera",
414
+ "412": "Tools",
415
+ "413": "Hammer",
416
+ "414": "Jackhammer",
417
+ "415": "Sawing",
418
+ "416": "Filing (rasp)",
419
+ "417": "Sanding",
420
+ "418": "Power tool",
421
+ "419": "Drill",
422
+ "420": "Explosion",
423
+ "421": "Gunshot",
424
+ "422": "Machine gun",
425
+ "423": "Fusillade",
426
+ "424": "Artillery fire",
427
+ "425": "Cap gun",
428
+ "426": "Fireworks",
429
+ "427": "Firecracker",
430
+ "428": "Burst",
431
+ "429": "Eruption",
432
+ "430": "Boom",
433
+ "431": "Wood",
434
+ "432": "Chop",
435
+ "433": "Splinter",
436
+ "434": "Crack",
437
+ "435": "Glass",
438
+ "436": "Chink",
439
+ "437": "Shatter",
440
+ "438": "Liquid",
441
+ "439": "Splash",
442
+ "440": "Slosh",
443
+ "441": "Squish",
444
+ "442": "Drip",
445
+ "443": "Pour",
446
+ "444": "Trickle",
447
+ "445": "Gush",
448
+ "446": "Fill (with liquid)",
449
+ "447": "Spray",
450
+ "448": "Pump (liquid)",
451
+ "449": "Stir",
452
+ "450": "Boiling",
453
+ "451": "Sonar",
454
+ "452": "Arrow",
455
+ "453": "Whoosh",
456
+ "454": "Thump",
457
+ "455": "Thunk",
458
+ "456": "Electronic tuner",
459
+ "457": "Effects unit",
460
+ "458": "Chorus effect",
461
+ "459": "Basketball bounce",
462
+ "460": "Bang",
463
+ "461": "Slap",
464
+ "462": "Whack",
465
+ "463": "Smash",
466
+ "464": "Breaking",
467
+ "465": "Bouncing",
468
+ "466": "Whip",
469
+ "467": "Flap",
470
+ "468": "Scratch",
471
+ "469": "Scrape",
472
+ "470": "Rub",
473
+ "471": "Roll",
474
+ "472": "Crushing",
475
+ "473": "Crumpling",
476
+ "474": "Tearing",
477
+ "475": "Beep",
478
+ "476": "Ping",
479
+ "477": "Ding",
480
+ "478": "Clang",
481
+ "479": "Squeal",
482
+ "480": "Creak",
483
+ "481": "Rustle",
484
+ "482": "Whir",
485
+ "483": "Clatter",
486
+ "484": "Sizzle",
487
+ "485": "Clicking",
488
+ "486": "Clickety-clack",
489
+ "487": "Rumble",
490
+ "488": "Plop",
491
+ "489": "Jingle",
492
+ "490": "Hum",
493
+ "491": "Zing",
494
+ "492": "Boing",
495
+ "493": "Crunch",
496
+ "494": "Silence",
497
+ "495": "Sine wave",
498
+ "496": "Harmonic",
499
+ "497": "Chirp tone",
500
+ "498": "Sound effect",
501
+ "499": "Pulse",
502
+ "500": "Inside",
503
+ "501": "Inside",
504
+ "502": "Inside",
505
+ "503": "Outside",
506
+ "504": "Outside",
507
+ "505": "Reverberation",
508
+ "506": "Echo",
509
+ "507": "Noise",
510
+ "508": "Environmental noise",
511
+ "509": "Static",
512
+ "510": "Mains hum",
513
+ "511": "Distortion",
514
+ "512": "Sidetone",
515
+ "513": "Cacophony",
516
+ "514": "White noise",
517
+ "515": "Pink noise",
518
+ "516": "Throbbing",
519
+ "517": "Vibration",
520
+ "518": "Television",
521
+ "519": "Radio",
522
+ "520": "Field recording"
523
+ }
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+ ---
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+ language: multilingual
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+ - audio-classification
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+ license: "apache-2.0"
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+ datasets:
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+ - AudioSet
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+ ---
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+
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+ copy of https://tfhub.dev/google/yamnet/1, https://tfhub.dev/google/coral-model/yamnet/classification/coral/1
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+ {
2
+ "0": "Speech",
3
+ "1": "Child speech",
4
+ "2": "Conversation",
5
+ "3": "Narration",
6
+ "4": "Babbling",
7
+ "5": "Speech synthesizer",
8
+ "6": "Shout",
9
+ "7": "Bellow",
10
+ "8": "Whoop",
11
+ "9": "Yell",
12
+ "10": "Children shouting",
13
+ "11": "Screaming",
14
+ "12": "Whispering",
15
+ "13": "Laughter",
16
+ "14": "Baby laughter",
17
+ "15": "Giggle",
18
+ "16": "Snicker",
19
+ "17": "Belly laugh",
20
+ "18": "Chuckle",
21
+ "19": "Crying",
22
+ "20": "Baby cry",
23
+ "21": "Whimper",
24
+ "22": "Wail",
25
+ "23": "Sigh",
26
+ "24": "Singing",
27
+ "25": "Choir",
28
+ "26": "Yodeling",
29
+ "27": "Chant",
30
+ "28": "Mantra",
31
+ "29": "Child singing",
32
+ "30": "Synthetic singing",
33
+ "31": "Rapping",
34
+ "32": "Humming",
35
+ "33": "Groan",
36
+ "34": "Grunt",
37
+ "35": "Whistling",
38
+ "36": "Breathing",
39
+ "37": "Wheeze",
40
+ "38": "Snoring",
41
+ "39": "Gasp",
42
+ "40": "Pant",
43
+ "41": "Snort",
44
+ "42": "Cough",
45
+ "43": "Throat clearing",
46
+ "44": "Sneeze",
47
+ "45": "Sniff",
48
+ "46": "Run",
49
+ "47": "Shuffle",
50
+ "48": "Walk",
51
+ "49": "Chewing",
52
+ "50": "Biting",
53
+ "51": "Gargling",
54
+ "52": "Stomach rumble",
55
+ "53": "Burping",
56
+ "54": "Hiccup",
57
+ "55": "Fart",
58
+ "56": "Hands",
59
+ "57": "Finger snapping",
60
+ "58": "Clapping",
61
+ "59": "Heart sounds",
62
+ "60": "Heart murmur",
63
+ "61": "Cheering",
64
+ "62": "Applause",
65
+ "63": "Chatter",
66
+ "64": "Crowd",
67
+ "65": "Hubbub",
68
+ "66": "Children playing",
69
+ "67": "Animal",
70
+ "68": "Domestic animals",
71
+ "69": "Dog",
72
+ "70": "Bark",
73
+ "71": "Yip",
74
+ "72": "Howl",
75
+ "73": "Bow-wow",
76
+ "74": "Growling",
77
+ "75": "Whimper (dog)",
78
+ "76": "Cat",
79
+ "77": "Purr",
80
+ "78": "Meow",
81
+ "79": "Hiss",
82
+ "80": "Caterwaul",
83
+ "81": "Livestock",
84
+ "82": "Horse",
85
+ "83": "Clip-clop",
86
+ "84": "Neigh",
87
+ "85": "Cattle",
88
+ "86": "Moo",
89
+ "87": "Cowbell",
90
+ "88": "Pig",
91
+ "89": "Oink",
92
+ "90": "Goat",
93
+ "91": "Bleat",
94
+ "92": "Sheep",
95
+ "93": "Fowl",
96
+ "94": "Chicken",
97
+ "95": "Cluck",
98
+ "96": "Crowing",
99
+ "97": "Turkey",
100
+ "98": "Gobble",
101
+ "99": "Duck",
102
+ "100": "Quack",
103
+ "101": "Goose",
104
+ "102": "Honk",
105
+ "103": "Wild animals",
106
+ "104": "Roaring cats (lions",
107
+ "105": "Roar",
108
+ "106": "Bird",
109
+ "107": "Bird vocalization",
110
+ "108": "Chirp",
111
+ "109": "Squawk",
112
+ "110": "Pigeon",
113
+ "111": "Coo",
114
+ "112": "Crow",
115
+ "113": "Caw",
116
+ "114": "Owl",
117
+ "115": "Hoot",
118
+ "116": "Bird flight",
119
+ "117": "Canidae",
120
+ "118": "Rodents",
121
+ "119": "Mouse",
122
+ "120": "Patter",
123
+ "121": "Insect",
124
+ "122": "Cricket",
125
+ "123": "Mosquito",
126
+ "124": "Fly",
127
+ "125": "Buzz",
128
+ "126": "Bee",
129
+ "127": "Frog",
130
+ "128": "Croak",
131
+ "129": "Snake",
132
+ "130": "Rattle",
133
+ "131": "Whale vocalization",
134
+ "132": "Music",
135
+ "133": "Musical instrument",
136
+ "134": "Plucked string instrument",
137
+ "135": "Guitar",
138
+ "136": "Electric guitar",
139
+ "137": "Bass guitar",
140
+ "138": "Acoustic guitar",
141
+ "139": "Steel guitar",
142
+ "140": "Tapping (guitar technique)",
143
+ "141": "Strum",
144
+ "142": "Banjo",
145
+ "143": "Sitar",
146
+ "144": "Mandolin",
147
+ "145": "Zither",
148
+ "146": "Ukulele",
149
+ "147": "Keyboard (musical)",
150
+ "148": "Piano",
151
+ "149": "Electric piano",
152
+ "150": "Organ",
153
+ "151": "Electronic organ",
154
+ "152": "Hammond organ",
155
+ "153": "Synthesizer",
156
+ "154": "Sampler",
157
+ "155": "Harpsichord",
158
+ "156": "Percussion",
159
+ "157": "Drum kit",
160
+ "158": "Drum machine",
161
+ "159": "Drum",
162
+ "160": "Snare drum",
163
+ "161": "Rimshot",
164
+ "162": "Drum roll",
165
+ "163": "Bass drum",
166
+ "164": "Timpani",
167
+ "165": "Tabla",
168
+ "166": "Cymbal",
169
+ "167": "Hi-hat",
170
+ "168": "Wood block",
171
+ "169": "Tambourine",
172
+ "170": "Rattle (instrument)",
173
+ "171": "Maraca",
174
+ "172": "Gong",
175
+ "173": "Tubular bells",
176
+ "174": "Mallet percussion",
177
+ "175": "Marimba",
178
+ "176": "Glockenspiel",
179
+ "177": "Vibraphone",
180
+ "178": "Steelpan",
181
+ "179": "Orchestra",
182
+ "180": "Brass instrument",
183
+ "181": "French horn",
184
+ "182": "Trumpet",
185
+ "183": "Trombone",
186
+ "184": "Bowed string instrument",
187
+ "185": "String section",
188
+ "186": "Violin",
189
+ "187": "Pizzicato",
190
+ "188": "Cello",
191
+ "189": "Double bass",
192
+ "190": "Wind instrument",
193
+ "191": "Flute",
194
+ "192": "Saxophone",
195
+ "193": "Clarinet",
196
+ "194": "Harp",
197
+ "195": "Bell",
198
+ "196": "Church bell",
199
+ "197": "Jingle bell",
200
+ "198": "Bicycle bell",
201
+ "199": "Tuning fork",
202
+ "200": "Chime",
203
+ "201": "Wind chime",
204
+ "202": "Change ringing (campanology)",
205
+ "203": "Harmonica",
206
+ "204": "Accordion",
207
+ "205": "Bagpipes",
208
+ "206": "Didgeridoo",
209
+ "207": "Shofar",
210
+ "208": "Theremin",
211
+ "209": "Singing bowl",
212
+ "210": "Scratching (performance technique)",
213
+ "211": "Pop music",
214
+ "212": "Hip hop music",
215
+ "213": "Beatboxing",
216
+ "214": "Rock music",
217
+ "215": "Heavy metal",
218
+ "216": "Punk rock",
219
+ "217": "Grunge",
220
+ "218": "Progressive rock",
221
+ "219": "Rock and roll",
222
+ "220": "Psychedelic rock",
223
+ "221": "Rhythm and blues",
224
+ "222": "Soul music",
225
+ "223": "Reggae",
226
+ "224": "Country",
227
+ "225": "Swing music",
228
+ "226": "Bluegrass",
229
+ "227": "Funk",
230
+ "228": "Folk music",
231
+ "229": "Middle Eastern music",
232
+ "230": "Jazz",
233
+ "231": "Disco",
234
+ "232": "Classical music",
235
+ "233": "Opera",
236
+ "234": "Electronic music",
237
+ "235": "House music",
238
+ "236": "Techno",
239
+ "237": "Dubstep",
240
+ "238": "Drum and bass",
241
+ "239": "Electronica",
242
+ "240": "Electronic dance music",
243
+ "241": "Ambient music",
244
+ "242": "Trance music",
245
+ "243": "Music of Latin America",
246
+ "244": "Salsa music",
247
+ "245": "Flamenco",
248
+ "246": "Blues",
249
+ "247": "Music for children",
250
+ "248": "New-age music",
251
+ "249": "Vocal music",
252
+ "250": "A capella",
253
+ "251": "Music of Africa",
254
+ "252": "Afrobeat",
255
+ "253": "Christian music",
256
+ "254": "Gospel music",
257
+ "255": "Music of Asia",
258
+ "256": "Carnatic music",
259
+ "257": "Music of Bollywood",
260
+ "258": "Ska",
261
+ "259": "Traditional music",
262
+ "260": "Independent music",
263
+ "261": "Song",
264
+ "262": "Background music",
265
+ "263": "Theme music",
266
+ "264": "Jingle (music)",
267
+ "265": "Soundtrack music",
268
+ "266": "Lullaby",
269
+ "267": "Video game music",
270
+ "268": "Christmas music",
271
+ "269": "Dance music",
272
+ "270": "Wedding music",
273
+ "271": "Happy music",
274
+ "272": "Sad music",
275
+ "273": "Tender music",
276
+ "274": "Exciting music",
277
+ "275": "Angry music",
278
+ "276": "Scary music",
279
+ "277": "Wind",
280
+ "278": "Rustling leaves",
281
+ "279": "Wind noise (microphone)",
282
+ "280": "Thunderstorm",
283
+ "281": "Thunder",
284
+ "282": "Water",
285
+ "283": "Rain",
286
+ "284": "Raindrop",
287
+ "285": "Rain on surface",
288
+ "286": "Stream",
289
+ "287": "Waterfall",
290
+ "288": "Ocean",
291
+ "289": "Waves",
292
+ "290": "Steam",
293
+ "291": "Gurgling",
294
+ "292": "Fire",
295
+ "293": "Crackle",
296
+ "294": "Vehicle",
297
+ "295": "Boat",
298
+ "296": "Sailboat",
299
+ "297": "Rowboat",
300
+ "298": "Motorboat",
301
+ "299": "Ship",
302
+ "300": "Motor vehicle (road)",
303
+ "301": "Car",
304
+ "302": "Vehicle horn",
305
+ "303": "Toot",
306
+ "304": "Car alarm",
307
+ "305": "Power windows",
308
+ "306": "Skidding",
309
+ "307": "Tire squeal",
310
+ "308": "Car passing by",
311
+ "309": "Race car",
312
+ "310": "Truck",
313
+ "311": "Air brake",
314
+ "312": "Air horn",
315
+ "313": "Reversing beeps",
316
+ "314": "Ice cream truck",
317
+ "315": "Bus",
318
+ "316": "Emergency vehicle",
319
+ "317": "Police car (siren)",
320
+ "318": "Ambulance (siren)",
321
+ "319": "Fire engine",
322
+ "320": "Motorcycle",
323
+ "321": "Traffic noise",
324
+ "322": "Rail transport",
325
+ "323": "Train",
326
+ "324": "Train whistle",
327
+ "325": "Train horn",
328
+ "326": "Railroad car",
329
+ "327": "Train wheels squealing",
330
+ "328": "Subway",
331
+ "329": "Aircraft",
332
+ "330": "Aircraft engine",
333
+ "331": "Jet engine",
334
+ "332": "Propeller",
335
+ "333": "Helicopter",
336
+ "334": "Fixed-wing aircraft",
337
+ "335": "Bicycle",
338
+ "336": "Skateboard",
339
+ "337": "Engine",
340
+ "338": "Light engine (high frequency)",
341
+ "339": "Dental drill",
342
+ "340": "Lawn mower",
343
+ "341": "Chainsaw",
344
+ "342": "Medium engine (mid frequency)",
345
+ "343": "Heavy engine (low frequency)",
346
+ "344": "Engine knocking",
347
+ "345": "Engine starting",
348
+ "346": "Idling",
349
+ "347": "Accelerating",
350
+ "348": "Door",
351
+ "349": "Doorbell",
352
+ "350": "Ding-dong",
353
+ "351": "Sliding door",
354
+ "352": "Slam",
355
+ "353": "Knock",
356
+ "354": "Tap",
357
+ "355": "Squeak",
358
+ "356": "Cupboard open or close",
359
+ "357": "Drawer open or close",
360
+ "358": "Dishes",
361
+ "359": "Cutlery",
362
+ "360": "Chopping (food)",
363
+ "361": "Frying (food)",
364
+ "362": "Microwave oven",
365
+ "363": "Blender",
366
+ "364": "Water tap",
367
+ "365": "Sink (filling or washing)",
368
+ "366": "Bathtub (filling or washing)",
369
+ "367": "Hair dryer",
370
+ "368": "Toilet flush",
371
+ "369": "Toothbrush",
372
+ "370": "Electric toothbrush",
373
+ "371": "Vacuum cleaner",
374
+ "372": "Zipper (clothing)",
375
+ "373": "Keys jangling",
376
+ "374": "Coin (dropping)",
377
+ "375": "Scissors",
378
+ "376": "Electric shaver",
379
+ "377": "Shuffling cards",
380
+ "378": "Typing",
381
+ "379": "Typewriter",
382
+ "380": "Computer keyboard",
383
+ "381": "Writing",
384
+ "382": "Alarm",
385
+ "383": "Telephone",
386
+ "384": "Telephone bell ringing",
387
+ "385": "Ringtone",
388
+ "386": "Telephone dialing",
389
+ "387": "Dial tone",
390
+ "388": "Busy signal",
391
+ "389": "Alarm clock",
392
+ "390": "Siren",
393
+ "391": "Civil defense siren",
394
+ "392": "Buzzer",
395
+ "393": "Smoke detector",
396
+ "394": "Fire alarm",
397
+ "395": "Foghorn",
398
+ "396": "Whistle",
399
+ "397": "Steam whistle",
400
+ "398": "Mechanisms",
401
+ "399": "Ratchet",
402
+ "400": "Clock",
403
+ "401": "Tick",
404
+ "402": "Tick-tock",
405
+ "403": "Gears",
406
+ "404": "Pulleys",
407
+ "405": "Sewing machine",
408
+ "406": "Mechanical fan",
409
+ "407": "Air conditioning",
410
+ "408": "Cash register",
411
+ "409": "Printer",
412
+ "410": "Camera",
413
+ "411": "Single-lens reflex camera",
414
+ "412": "Tools",
415
+ "413": "Hammer",
416
+ "414": "Jackhammer",
417
+ "415": "Sawing",
418
+ "416": "Filing (rasp)",
419
+ "417": "Sanding",
420
+ "418": "Power tool",
421
+ "419": "Drill",
422
+ "420": "Explosion",
423
+ "421": "Gunshot",
424
+ "422": "Machine gun",
425
+ "423": "Fusillade",
426
+ "424": "Artillery fire",
427
+ "425": "Cap gun",
428
+ "426": "Fireworks",
429
+ "427": "Firecracker",
430
+ "428": "Burst",
431
+ "429": "Eruption",
432
+ "430": "Boom",
433
+ "431": "Wood",
434
+ "432": "Chop",
435
+ "433": "Splinter",
436
+ "434": "Crack",
437
+ "435": "Glass",
438
+ "436": "Chink",
439
+ "437": "Shatter",
440
+ "438": "Liquid",
441
+ "439": "Splash",
442
+ "440": "Slosh",
443
+ "441": "Squish",
444
+ "442": "Drip",
445
+ "443": "Pour",
446
+ "444": "Trickle",
447
+ "445": "Gush",
448
+ "446": "Fill (with liquid)",
449
+ "447": "Spray",
450
+ "448": "Pump (liquid)",
451
+ "449": "Stir",
452
+ "450": "Boiling",
453
+ "451": "Sonar",
454
+ "452": "Arrow",
455
+ "453": "Whoosh",
456
+ "454": "Thump",
457
+ "455": "Thunk",
458
+ "456": "Electronic tuner",
459
+ "457": "Effects unit",
460
+ "458": "Chorus effect",
461
+ "459": "Basketball bounce",
462
+ "460": "Bang",
463
+ "461": "Slap",
464
+ "462": "Whack",
465
+ "463": "Smash",
466
+ "464": "Breaking",
467
+ "465": "Bouncing",
468
+ "466": "Whip",
469
+ "467": "Flap",
470
+ "468": "Scratch",
471
+ "469": "Scrape",
472
+ "470": "Rub",
473
+ "471": "Roll",
474
+ "472": "Crushing",
475
+ "473": "Crumpling",
476
+ "474": "Tearing",
477
+ "475": "Beep",
478
+ "476": "Ping",
479
+ "477": "Ding",
480
+ "478": "Clang",
481
+ "479": "Squeal",
482
+ "480": "Creak",
483
+ "481": "Rustle",
484
+ "482": "Whir",
485
+ "483": "Clatter",
486
+ "484": "Sizzle",
487
+ "485": "Clicking",
488
+ "486": "Clickety-clack",
489
+ "487": "Rumble",
490
+ "488": "Plop",
491
+ "489": "Jingle",
492
+ "490": "Hum",
493
+ "491": "Zing",
494
+ "492": "Boing",
495
+ "493": "Crunch",
496
+ "494": "Silence",
497
+ "495": "Sine wave",
498
+ "496": "Harmonic",
499
+ "497": "Chirp tone",
500
+ "498": "Sound effect",
501
+ "499": "Pulse",
502
+ "500": "Inside",
503
+ "501": "Inside",
504
+ "502": "Inside",
505
+ "503": "Outside",
506
+ "504": "Outside",
507
+ "505": "Reverberation",
508
+ "506": "Echo",
509
+ "507": "Noise",
510
+ "508": "Environmental noise",
511
+ "509": "Static",
512
+ "510": "Mains hum",
513
+ "511": "Distortion",
514
+ "512": "Sidetone",
515
+ "513": "Cacophony",
516
+ "514": "White noise",
517
+ "515": "Pink noise",
518
+ "516": "Throbbing",
519
+ "517": "Vibration",
520
+ "518": "Television",
521
+ "519": "Radio",
522
+ "520": "Field recording"
523
+ }
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yamnetonnx/README.md ADDED
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1
+ ---
2
+ pipeline_tag: audio-classification
3
+ ---
4
+ This model is an ONNX version of a YAMNet-based classifier trained to recognize environmental and human-made sounds (e.g., speech, music, silence, barking, etc.).
5
+
6
+ Format: ONNX (.onnx)
7
+
8
+ Input: float32 mono audio, sampled at 16,000 Hz
9
+
10
+ Output: Score matrix per class [num_frames, num_classes]
11
+
12
+ Classes: See mapping in yamnet_class_map.csv
13
+
14
+ Example for uses
15
+ ```python
16
+
17
+ import sounddevice as sd
18
+ import numpy as np
19
+ import onnxruntime
20
+ import scipy.signal
21
+ import csv
22
+ import threading
23
+ import time
24
+ from collections import deque, Counter
25
+
26
+ # Path to the ONNX model file
27
+ MODEL_PATH = "./yamnet.onnx"
28
+ # Create an inference session with ONNX runtime using CPU provider
29
+ session = onnxruntime.InferenceSession(MODEL_PATH, providers=['CPUExecutionProvider'])
30
+ # Get the name of the model's input node
31
+ input_name = session.get_inputs()[0].name
32
+
33
+ def load_class_map(csv_path="yamnet_class_map.csv"):
34
+ """Load class names from a CSV file into a dictionary mapping class IDs to names."""
35
+ class_map = {}
36
+ with open(csv_path, newline='') as csvfile:
37
+ reader = csv.reader(csvfile)
38
+ next(reader) # Skip header row
39
+ for row in reader:
40
+ class_id = int(row[0])
41
+ class_name = row[2] # Class name is in the third column
42
+ class_map[class_id] = class_name
43
+ return class_map
44
+
45
+ # Load the class mapping from CSV
46
+ class_map = load_class_map()
47
+
48
+ # Audio buffer settings (1.5 seconds at 16kHz sample rate)
49
+ BUFFER_SIZE = int(16000 * 1.5)
50
+ # Circular buffer to store audio samples
51
+ audio_buffer = deque(maxlen=BUFFER_SIZE)
52
+
53
+ # Queues for storing and consolidating detection results
54
+ detections_queue = deque(maxlen=3) # Stores recent detections
55
+ consolidated_results = deque(maxlen=3) # Stores consolidated results
56
+ last_printed_result = None # Last result printed to console
57
+ last_inference_time = 0 # Timestamp of last inference
58
+
59
+ # Configuration for sleep mode (temporarily pausing inference)
60
+ sleep_triggers = {"music", "speech", "silence"} # Classes that trigger sleep mode
61
+ sleep_duration = 3.0 # How long to sleep after detecting trigger classes
62
+ same_class_count = 0 # Counter for consecutive same-class detections
63
+ last_detected_class = None # Last class detected
64
+ is_sleeping_until = 0 # Timestamp until which we're in sleep mode
65
+
66
+ def resample_if_needed(audio, original_sr, target_sr=16000):
67
+ """Resample audio to target sample rate if needed."""
68
+ if original_sr != target_sr:
69
+ audio = scipy.signal.resample_poly(audio, target_sr, int(original_sr))
70
+ return audio
71
+
72
+ def run_inference(audio_chunk):
73
+ """Run the ONNX model inference on an audio chunk and process results."""
74
+ global detections_queue, consolidated_results, last_printed_result
75
+ global is_sleeping_until, same_class_count, last_detected_class
76
+
77
+ try:
78
+ # Run the ONNX model
79
+ outputs = session.run(None, {input_name: audio_chunk.astype(np.float32)})
80
+ scores = outputs[0]
81
+ mean_scores = np.mean(scores, axis=0) # Average scores across frames
82
+
83
+ # Get the class with highest score
84
+ class_id = np.argmax(mean_scores)
85
+ confidence = mean_scores[class_id]
86
+ class_name = class_map.get(class_id, f"Class {class_id}")
87
+
88
+ # Track consecutive detections of the same class
89
+ if class_name == last_detected_class:
90
+ same_class_count += 1
91
+ else:
92
+ same_class_count = 1
93
+ last_detected_class = class_name
94
+
95
+ # Enter sleep mode if we detect trigger classes consecutively
96
+ if same_class_count >= 3 and class_name in sleep_triggers:
97
+ is_sleeping_until = time.time() + sleep_duration
98
+ print(f" Pausing inferences for {sleep_duration} seconds (detected: {class_name})")
99
+ same_class_count = 0
100
+
101
+ # Add detection to queue
102
+ detections_queue.append((class_name, confidence))
103
+
104
+ # When queue is full, consolidate results
105
+ if len(detections_queue) == 1:
106
+ most_common_name, _ = Counter([d[0] for d in detections_queue]).most_common(1)[0]
107
+ relevant_conf = [conf for n, conf in detections_queue if n == most_common_name]
108
+ avg_conf = np.mean(relevant_conf) * 100
109
+ if avg_conf > 20: # Only consider results with >20% confidence
110
+ consolidated_results.append((most_common_name, avg_conf))
111
+ detections_queue.clear()
112
+
113
+ # When we have enough consolidated results, print the final result
114
+ if len(consolidated_results) == 3:
115
+ names = [r[0] for r in consolidated_results]
116
+ confidences = [r[1] for r in consolidated_results]
117
+ most_common_name, _ = Counter(names).most_common(1)[0]
118
+ avg_conf = np.mean([c for n, c in consolidated_results if n == most_common_name])
119
+ msg = f" Consolidated result: {most_common_name} with average confidence {avg_conf:.2f}%"
120
+ if msg != last_printed_result:
121
+ print(msg)
122
+ last_printed_result = msg
123
+
124
+ except Exception as e:
125
+ print(f" ONNX Error: {e}")
126
+
127
+ def audio_callback(indata, frames, time_info, status):
128
+ """Callback function for audio input stream."""
129
+ global last_inference_time, is_sleeping_until
130
+
131
+ if status:
132
+ print(f" Status: {status}")
133
+
134
+ # Get mono audio and resample if needed
135
+ audio = indata[:, 0]
136
+ original_sr = sd.query_devices(sd.default.device[0], 'input')['default_samplerate']
137
+ audio = resample_if_needed(audio, original_sr)
138
+
139
+ # Normalize audio
140
+ max_val = np.max(np.abs(audio))
141
+ if max_val > 0:
142
+ audio = audio / max_val
143
+
144
+ # Add audio to buffer
145
+ audio_buffer.extend(audio)
146
+
147
+ # Run inference if buffer is full and not in sleep mode
148
+ if len(audio_buffer) >= BUFFER_SIZE:
149
+ now = time.time()
150
+
151
+ if now < is_sleeping_until:
152
+ return
153
+
154
+ # Throttle inference to once per second
155
+ if now - last_inference_time > 1.0:
156
+ last_inference_time = now
157
+ audio_chunk = np.array(audio_buffer)
158
+ # Run inference in a separate thread
159
+ threading.Thread(target=run_inference, args=(audio_chunk,), daemon=True).start()
160
+
161
+ def main():
162
+ """Main function to start audio streaming and processing."""
163
+ print(" Starting real-time listening (Ctrl+C to stop)...")
164
+
165
+ # List available input devices
166
+ devices = sd.query_devices()
167
+ input_devices = [i for i, d in enumerate(devices) if d['max_input_channels'] > 0]
168
+
169
+ print("\nAvailable input devices:")
170
+ for i in input_devices:
171
+ print(f"{i}: {devices[i]['name']}")
172
+
173
+ # Let user select input device
174
+ device_id = int(input("Select input device ID: "))
175
+ sd.default.device = (device_id, None)
176
+
177
+ # Configure audio settings
178
+ samplerate = int(sd.query_devices(device_id, 'input')['default_samplerate'])
179
+ sd.default.samplerate = samplerate
180
+ sd.default.channels = 1 # Mono audio
181
+
182
+ print("🎧 Listening...")
183
+
184
+ # Start audio stream with callback
185
+ with sd.InputStream(callback=audio_callback, channels=1, samplerate=samplerate):
186
+ try:
187
+ while True:
188
+ time.sleep(0.1) # Keep main thread alive
189
+ except KeyboardInterrupt:
190
+ print("\n Stopping listener...")
191
+
192
+ if __name__ == "__main__":
193
+ main()
194
+
195
+ ```
196
+
yamnetonnx/source.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ https://huggingface.co/jafet21/yamnetonnx
yamnetonnx/yamnet.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:04e27fca08e7a3aea2630d1a63a51e6b437c803e0ff6e26399f80870ac251dda
3
+ size 16124200
yamnetonnx/yamnet_class_map.csv ADDED
@@ -0,0 +1,522 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ index,mid,display_name
2
+ 0,/m/09x0r,Speech
3
+ 1,/m/0ytgt,"Child speech, kid speaking"
4
+ 2,/m/01h8n0,Conversation
5
+ 3,/m/02qldy,"Narration, monologue"
6
+ 4,/m/0261r1,Babbling
7
+ 5,/m/0brhx,Speech synthesizer
8
+ 6,/m/07p6fty,Shout
9
+ 7,/m/07q4ntr,Bellow
10
+ 8,/m/07rwj3x,Whoop
11
+ 9,/m/07sr1lc,Yell
12
+ 10,/t/dd00135,Children shouting
13
+ 11,/m/03qc9zr,Screaming
14
+ 12,/m/02rtxlg,Whispering
15
+ 13,/m/01j3sz,Laughter
16
+ 14,/t/dd00001,Baby laughter
17
+ 15,/m/07r660_,Giggle
18
+ 16,/m/07s04w4,Snicker
19
+ 17,/m/07sq110,Belly laugh
20
+ 18,/m/07rgt08,"Chuckle, chortle"
21
+ 19,/m/0463cq4,"Crying, sobbing"
22
+ 20,/t/dd00002,"Baby cry, infant cry"
23
+ 21,/m/07qz6j3,Whimper
24
+ 22,/m/07qw_06,"Wail, moan"
25
+ 23,/m/07plz5l,Sigh
26
+ 24,/m/015lz1,Singing
27
+ 25,/m/0l14jd,Choir
28
+ 26,/m/01swy6,Yodeling
29
+ 27,/m/02bk07,Chant
30
+ 28,/m/01c194,Mantra
31
+ 29,/t/dd00005,Child singing
32
+ 30,/t/dd00006,Synthetic singing
33
+ 31,/m/06bxc,Rapping
34
+ 32,/m/02fxyj,Humming
35
+ 33,/m/07s2xch,Groan
36
+ 34,/m/07r4k75,Grunt
37
+ 35,/m/01w250,Whistling
38
+ 36,/m/0lyf6,Breathing
39
+ 37,/m/07mzm6,Wheeze
40
+ 38,/m/01d3sd,Snoring
41
+ 39,/m/07s0dtb,Gasp
42
+ 40,/m/07pyy8b,Pant
43
+ 41,/m/07q0yl5,Snort
44
+ 42,/m/01b_21,Cough
45
+ 43,/m/0dl9sf8,Throat clearing
46
+ 44,/m/01hsr_,Sneeze
47
+ 45,/m/07ppn3j,Sniff
48
+ 46,/m/06h7j,Run
49
+ 47,/m/07qv_x_,Shuffle
50
+ 48,/m/07pbtc8,"Walk, footsteps"
51
+ 49,/m/03cczk,"Chewing, mastication"
52
+ 50,/m/07pdhp0,Biting
53
+ 51,/m/0939n_,Gargling
54
+ 52,/m/01g90h,Stomach rumble
55
+ 53,/m/03q5_w,"Burping, eructation"
56
+ 54,/m/02p3nc,Hiccup
57
+ 55,/m/02_nn,Fart
58
+ 56,/m/0k65p,Hands
59
+ 57,/m/025_jnm,Finger snapping
60
+ 58,/m/0l15bq,Clapping
61
+ 59,/m/01jg02,"Heart sounds, heartbeat"
62
+ 60,/m/01jg1z,Heart murmur
63
+ 61,/m/053hz1,Cheering
64
+ 62,/m/028ght,Applause
65
+ 63,/m/07rkbfh,Chatter
66
+ 64,/m/03qtwd,Crowd
67
+ 65,/m/07qfr4h,"Hubbub, speech noise, speech babble"
68
+ 66,/t/dd00013,Children playing
69
+ 67,/m/0jbk,Animal
70
+ 68,/m/068hy,"Domestic animals, pets"
71
+ 69,/m/0bt9lr,Dog
72
+ 70,/m/05tny_,Bark
73
+ 71,/m/07r_k2n,Yip
74
+ 72,/m/07qf0zm,Howl
75
+ 73,/m/07rc7d9,Bow-wow
76
+ 74,/m/0ghcn6,Growling
77
+ 75,/t/dd00136,Whimper (dog)
78
+ 76,/m/01yrx,Cat
79
+ 77,/m/02yds9,Purr
80
+ 78,/m/07qrkrw,Meow
81
+ 79,/m/07rjwbb,Hiss
82
+ 80,/m/07r81j2,Caterwaul
83
+ 81,/m/0ch8v,"Livestock, farm animals, working animals"
84
+ 82,/m/03k3r,Horse
85
+ 83,/m/07rv9rh,Clip-clop
86
+ 84,/m/07q5rw0,"Neigh, whinny"
87
+ 85,/m/01xq0k1,"Cattle, bovinae"
88
+ 86,/m/07rpkh9,Moo
89
+ 87,/m/0239kh,Cowbell
90
+ 88,/m/068zj,Pig
91
+ 89,/t/dd00018,Oink
92
+ 90,/m/03fwl,Goat
93
+ 91,/m/07q0h5t,Bleat
94
+ 92,/m/07bgp,Sheep
95
+ 93,/m/025rv6n,Fowl
96
+ 94,/m/09b5t,"Chicken, rooster"
97
+ 95,/m/07st89h,Cluck
98
+ 96,/m/07qn5dc,"Crowing, cock-a-doodle-doo"
99
+ 97,/m/01rd7k,Turkey
100
+ 98,/m/07svc2k,Gobble
101
+ 99,/m/09ddx,Duck
102
+ 100,/m/07qdb04,Quack
103
+ 101,/m/0dbvp,Goose
104
+ 102,/m/07qwf61,Honk
105
+ 103,/m/01280g,Wild animals
106
+ 104,/m/0cdnk,"Roaring cats (lions, tigers)"
107
+ 105,/m/04cvmfc,Roar
108
+ 106,/m/015p6,Bird
109
+ 107,/m/020bb7,"Bird vocalization, bird call, bird song"
110
+ 108,/m/07pggtn,"Chirp, tweet"
111
+ 109,/m/07sx8x_,Squawk
112
+ 110,/m/0h0rv,"Pigeon, dove"
113
+ 111,/m/07r_25d,Coo
114
+ 112,/m/04s8yn,Crow
115
+ 113,/m/07r5c2p,Caw
116
+ 114,/m/09d5_,Owl
117
+ 115,/m/07r_80w,Hoot
118
+ 116,/m/05_wcq,"Bird flight, flapping wings"
119
+ 117,/m/01z5f,"Canidae, dogs, wolves"
120
+ 118,/m/06hps,"Rodents, rats, mice"
121
+ 119,/m/04rmv,Mouse
122
+ 120,/m/07r4gkf,Patter
123
+ 121,/m/03vt0,Insect
124
+ 122,/m/09xqv,Cricket
125
+ 123,/m/09f96,Mosquito
126
+ 124,/m/0h2mp,"Fly, housefly"
127
+ 125,/m/07pjwq1,Buzz
128
+ 126,/m/01h3n,"Bee, wasp, etc."
129
+ 127,/m/09ld4,Frog
130
+ 128,/m/07st88b,Croak
131
+ 129,/m/078jl,Snake
132
+ 130,/m/07qn4z3,Rattle
133
+ 131,/m/032n05,Whale vocalization
134
+ 132,/m/04rlf,Music
135
+ 133,/m/04szw,Musical instrument
136
+ 134,/m/0fx80y,Plucked string instrument
137
+ 135,/m/0342h,Guitar
138
+ 136,/m/02sgy,Electric guitar
139
+ 137,/m/018vs,Bass guitar
140
+ 138,/m/042v_gx,Acoustic guitar
141
+ 139,/m/06w87,"Steel guitar, slide guitar"
142
+ 140,/m/01glhc,Tapping (guitar technique)
143
+ 141,/m/07s0s5r,Strum
144
+ 142,/m/018j2,Banjo
145
+ 143,/m/0jtg0,Sitar
146
+ 144,/m/04rzd,Mandolin
147
+ 145,/m/01bns_,Zither
148
+ 146,/m/07xzm,Ukulele
149
+ 147,/m/05148p4,Keyboard (musical)
150
+ 148,/m/05r5c,Piano
151
+ 149,/m/01s0ps,Electric piano
152
+ 150,/m/013y1f,Organ
153
+ 151,/m/03xq_f,Electronic organ
154
+ 152,/m/03gvt,Hammond organ
155
+ 153,/m/0l14qv,Synthesizer
156
+ 154,/m/01v1d8,Sampler
157
+ 155,/m/03q5t,Harpsichord
158
+ 156,/m/0l14md,Percussion
159
+ 157,/m/02hnl,Drum kit
160
+ 158,/m/0cfdd,Drum machine
161
+ 159,/m/026t6,Drum
162
+ 160,/m/06rvn,Snare drum
163
+ 161,/m/03t3fj,Rimshot
164
+ 162,/m/02k_mr,Drum roll
165
+ 163,/m/0bm02,Bass drum
166
+ 164,/m/011k_j,Timpani
167
+ 165,/m/01p970,Tabla
168
+ 166,/m/01qbl,Cymbal
169
+ 167,/m/03qtq,Hi-hat
170
+ 168,/m/01sm1g,Wood block
171
+ 169,/m/07brj,Tambourine
172
+ 170,/m/05r5wn,Rattle (instrument)
173
+ 171,/m/0xzly,Maraca
174
+ 172,/m/0mbct,Gong
175
+ 173,/m/016622,Tubular bells
176
+ 174,/m/0j45pbj,Mallet percussion
177
+ 175,/m/0dwsp,"Marimba, xylophone"
178
+ 176,/m/0dwtp,Glockenspiel
179
+ 177,/m/0dwt5,Vibraphone
180
+ 178,/m/0l156b,Steelpan
181
+ 179,/m/05pd6,Orchestra
182
+ 180,/m/01kcd,Brass instrument
183
+ 181,/m/0319l,French horn
184
+ 182,/m/07gql,Trumpet
185
+ 183,/m/07c6l,Trombone
186
+ 184,/m/0l14_3,Bowed string instrument
187
+ 185,/m/02qmj0d,String section
188
+ 186,/m/07y_7,"Violin, fiddle"
189
+ 187,/m/0d8_n,Pizzicato
190
+ 188,/m/01xqw,Cello
191
+ 189,/m/02fsn,Double bass
192
+ 190,/m/085jw,"Wind instrument, woodwind instrument"
193
+ 191,/m/0l14j_,Flute
194
+ 192,/m/06ncr,Saxophone
195
+ 193,/m/01wy6,Clarinet
196
+ 194,/m/03m5k,Harp
197
+ 195,/m/0395lw,Bell
198
+ 196,/m/03w41f,Church bell
199
+ 197,/m/027m70_,Jingle bell
200
+ 198,/m/0gy1t2s,Bicycle bell
201
+ 199,/m/07n_g,Tuning fork
202
+ 200,/m/0f8s22,Chime
203
+ 201,/m/026fgl,Wind chime
204
+ 202,/m/0150b9,Change ringing (campanology)
205
+ 203,/m/03qjg,Harmonica
206
+ 204,/m/0mkg,Accordion
207
+ 205,/m/0192l,Bagpipes
208
+ 206,/m/02bxd,Didgeridoo
209
+ 207,/m/0l14l2,Shofar
210
+ 208,/m/07kc_,Theremin
211
+ 209,/m/0l14t7,Singing bowl
212
+ 210,/m/01hgjl,Scratching (performance technique)
213
+ 211,/m/064t9,Pop music
214
+ 212,/m/0glt670,Hip hop music
215
+ 213,/m/02cz_7,Beatboxing
216
+ 214,/m/06by7,Rock music
217
+ 215,/m/03lty,Heavy metal
218
+ 216,/m/05r6t,Punk rock
219
+ 217,/m/0dls3,Grunge
220
+ 218,/m/0dl5d,Progressive rock
221
+ 219,/m/07sbbz2,Rock and roll
222
+ 220,/m/05w3f,Psychedelic rock
223
+ 221,/m/06j6l,Rhythm and blues
224
+ 222,/m/0gywn,Soul music
225
+ 223,/m/06cqb,Reggae
226
+ 224,/m/01lyv,Country
227
+ 225,/m/015y_n,Swing music
228
+ 226,/m/0gg8l,Bluegrass
229
+ 227,/m/02x8m,Funk
230
+ 228,/m/02w4v,Folk music
231
+ 229,/m/06j64v,Middle Eastern music
232
+ 230,/m/03_d0,Jazz
233
+ 231,/m/026z9,Disco
234
+ 232,/m/0ggq0m,Classical music
235
+ 233,/m/05lls,Opera
236
+ 234,/m/02lkt,Electronic music
237
+ 235,/m/03mb9,House music
238
+ 236,/m/07gxw,Techno
239
+ 237,/m/07s72n,Dubstep
240
+ 238,/m/0283d,Drum and bass
241
+ 239,/m/0m0jc,Electronica
242
+ 240,/m/08cyft,Electronic dance music
243
+ 241,/m/0fd3y,Ambient music
244
+ 242,/m/07lnk,Trance music
245
+ 243,/m/0g293,Music of Latin America
246
+ 244,/m/0ln16,Salsa music
247
+ 245,/m/0326g,Flamenco
248
+ 246,/m/0155w,Blues
249
+ 247,/m/05fw6t,Music for children
250
+ 248,/m/02v2lh,New-age music
251
+ 249,/m/0y4f8,Vocal music
252
+ 250,/m/0z9c,A capella
253
+ 251,/m/0164x2,Music of Africa
254
+ 252,/m/0145m,Afrobeat
255
+ 253,/m/02mscn,Christian music
256
+ 254,/m/016cjb,Gospel music
257
+ 255,/m/028sqc,Music of Asia
258
+ 256,/m/015vgc,Carnatic music
259
+ 257,/m/0dq0md,Music of Bollywood
260
+ 258,/m/06rqw,Ska
261
+ 259,/m/02p0sh1,Traditional music
262
+ 260,/m/05rwpb,Independent music
263
+ 261,/m/074ft,Song
264
+ 262,/m/025td0t,Background music
265
+ 263,/m/02cjck,Theme music
266
+ 264,/m/03r5q_,Jingle (music)
267
+ 265,/m/0l14gg,Soundtrack music
268
+ 266,/m/07pkxdp,Lullaby
269
+ 267,/m/01z7dr,Video game music
270
+ 268,/m/0140xf,Christmas music
271
+ 269,/m/0ggx5q,Dance music
272
+ 270,/m/04wptg,Wedding music
273
+ 271,/t/dd00031,Happy music
274
+ 272,/t/dd00033,Sad music
275
+ 273,/t/dd00034,Tender music
276
+ 274,/t/dd00035,Exciting music
277
+ 275,/t/dd00036,Angry music
278
+ 276,/t/dd00037,Scary music
279
+ 277,/m/03m9d0z,Wind
280
+ 278,/m/09t49,Rustling leaves
281
+ 279,/t/dd00092,Wind noise (microphone)
282
+ 280,/m/0jb2l,Thunderstorm
283
+ 281,/m/0ngt1,Thunder
284
+ 282,/m/0838f,Water
285
+ 283,/m/06mb1,Rain
286
+ 284,/m/07r10fb,Raindrop
287
+ 285,/t/dd00038,Rain on surface
288
+ 286,/m/0j6m2,Stream
289
+ 287,/m/0j2kx,Waterfall
290
+ 288,/m/05kq4,Ocean
291
+ 289,/m/034srq,"Waves, surf"
292
+ 290,/m/06wzb,Steam
293
+ 291,/m/07swgks,Gurgling
294
+ 292,/m/02_41,Fire
295
+ 293,/m/07pzfmf,Crackle
296
+ 294,/m/07yv9,Vehicle
297
+ 295,/m/019jd,"Boat, Water vehicle"
298
+ 296,/m/0hsrw,"Sailboat, sailing ship"
299
+ 297,/m/056ks2,"Rowboat, canoe, kayak"
300
+ 298,/m/02rlv9,"Motorboat, speedboat"
301
+ 299,/m/06q74,Ship
302
+ 300,/m/012f08,Motor vehicle (road)
303
+ 301,/m/0k4j,Car
304
+ 302,/m/0912c9,"Vehicle horn, car horn, honking"
305
+ 303,/m/07qv_d5,Toot
306
+ 304,/m/02mfyn,Car alarm
307
+ 305,/m/04gxbd,"Power windows, electric windows"
308
+ 306,/m/07rknqz,Skidding
309
+ 307,/m/0h9mv,Tire squeal
310
+ 308,/t/dd00134,Car passing by
311
+ 309,/m/0ltv,"Race car, auto racing"
312
+ 310,/m/07r04,Truck
313
+ 311,/m/0gvgw0,Air brake
314
+ 312,/m/05x_td,"Air horn, truck horn"
315
+ 313,/m/02rhddq,Reversing beeps
316
+ 314,/m/03cl9h,"Ice cream truck, ice cream van"
317
+ 315,/m/01bjv,Bus
318
+ 316,/m/03j1ly,Emergency vehicle
319
+ 317,/m/04qvtq,Police car (siren)
320
+ 318,/m/012n7d,Ambulance (siren)
321
+ 319,/m/012ndj,"Fire engine, fire truck (siren)"
322
+ 320,/m/04_sv,Motorcycle
323
+ 321,/m/0btp2,"Traffic noise, roadway noise"
324
+ 322,/m/06d_3,Rail transport
325
+ 323,/m/07jdr,Train
326
+ 324,/m/04zmvq,Train whistle
327
+ 325,/m/0284vy3,Train horn
328
+ 326,/m/01g50p,"Railroad car, train wagon"
329
+ 327,/t/dd00048,Train wheels squealing
330
+ 328,/m/0195fx,"Subway, metro, underground"
331
+ 329,/m/0k5j,Aircraft
332
+ 330,/m/014yck,Aircraft engine
333
+ 331,/m/04229,Jet engine
334
+ 332,/m/02l6bg,"Propeller, airscrew"
335
+ 333,/m/09ct_,Helicopter
336
+ 334,/m/0cmf2,"Fixed-wing aircraft, airplane"
337
+ 335,/m/0199g,Bicycle
338
+ 336,/m/06_fw,Skateboard
339
+ 337,/m/02mk9,Engine
340
+ 338,/t/dd00065,Light engine (high frequency)
341
+ 339,/m/08j51y,"Dental drill, dentist's drill"
342
+ 340,/m/01yg9g,Lawn mower
343
+ 341,/m/01j4z9,Chainsaw
344
+ 342,/t/dd00066,Medium engine (mid frequency)
345
+ 343,/t/dd00067,Heavy engine (low frequency)
346
+ 344,/m/01h82_,Engine knocking
347
+ 345,/t/dd00130,Engine starting
348
+ 346,/m/07pb8fc,Idling
349
+ 347,/m/07q2z82,"Accelerating, revving, vroom"
350
+ 348,/m/02dgv,Door
351
+ 349,/m/03wwcy,Doorbell
352
+ 350,/m/07r67yg,Ding-dong
353
+ 351,/m/02y_763,Sliding door
354
+ 352,/m/07rjzl8,Slam
355
+ 353,/m/07r4wb8,Knock
356
+ 354,/m/07qcpgn,Tap
357
+ 355,/m/07q6cd_,Squeak
358
+ 356,/m/0642b4,Cupboard open or close
359
+ 357,/m/0fqfqc,Drawer open or close
360
+ 358,/m/04brg2,"Dishes, pots, and pans"
361
+ 359,/m/023pjk,"Cutlery, silverware"
362
+ 360,/m/07pn_8q,Chopping (food)
363
+ 361,/m/0dxrf,Frying (food)
364
+ 362,/m/0fx9l,Microwave oven
365
+ 363,/m/02pjr4,Blender
366
+ 364,/m/02jz0l,"Water tap, faucet"
367
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