Instructions to use HashNuke/tincan-wakewords with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use HashNuke/tincan-wakewords with NeMo:
# tag did not correspond to a valid NeMo domain.
- Notebooks
- Google Colab
- Kaggle
Akash Manohar commited on
Commit ·
a938cff
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Parent(s): 630200e
update readme frontmatter
Browse files
README.md
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license: apache-2.0
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datasets:
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- HashNuke/tincan-wakewords-data
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---
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# TinCan Speech Commands Model
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- This is a closed-vocabulary command recognizer, not a general speech-to-text model.
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- The model is intended for English short-command recognition.
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- Validation metrics may not fully predict performance with every microphone, speaker, accent, room, or noise condition.
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license: apache-2.0
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library_name: nemo
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tags:
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- onnx
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- nemo
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- speech-commands
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- wake-word-spotting
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datasets:
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- HashNuke/tincan-wakewords-data
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metrics:
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- accuracy
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model-index:
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- name: TinCan Speech Commands Model
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results:
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- task:
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type: audio-classification
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name: Speech command recognition
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dataset:
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name: TinCan Speech Commands validation set
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type: tincan-speech-commands-validation
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metrics:
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- type: loss
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name: Validation loss
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value: 0.1493
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- type: accuracy
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name: Validation micro top-1 accuracy
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value: 95.28
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- type: accuracy
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name: Validation macro accuracy
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value: 94.61
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---
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# TinCan Speech Commands Model
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- This is a closed-vocabulary command recognizer, not a general speech-to-text model.
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- The model is intended for English short-command recognition.
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- Validation metrics may not fully predict performance with every microphone, speaker, accent, room, or noise condition.
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