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stft_tcnn

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Update ST Model Zoo

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  1. README.md +2 -11
README.md CHANGED
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- ---
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- license: other
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- license_name: sla0044
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- license_link: >-
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- https://github.com/STMicroelectronics/stm32aimodelzoo/speech_enhancement/LICENSE.md
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- pipeline_tag: audio-to-audio
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- ---
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  # STFT-TCNN
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  ## **Use case** : `speech enhancement`
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  ### Reference **NPU** memory footprint
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  |Model | Dataset | Format | Resolution | Series | Internal RAM | External RAM | Weights Flash | STM32Cube.AI version | STEdgeAI Core version |
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  |----------|------------------|--------|-------------|------------------|------------------|---------------------|-------|----------------------|-------------------------|
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- | [STFT-TCNN Medium](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/speech_enhancement/stft_tcnn/ST_pretrainedmodel_public_dataset/valentini/stft_tcnn_medium_sigmoid_257x40_qdq_int8.onnx) | valentini | Int8 | 257x40 | STM32N6 | 100.09 | 0.0 | 1626.86 | 10.0.0 | 2.0.0 |
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  ### Reference **NPU** inference time
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  | Model | Dataset | Format | Resolution | Board | Execution Engine | Inference time (ms) | Inf / sec | STM32Cube.AI version | STEdgeAI Core version |
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  |--------|------------------|--------|-------------|------------------|------------------|---------------------|-------|----------------------|-------------------------|
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- | [STFT-TCNN medium](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/speech_enhancement/stft_tcnn/ST_pretrainedmodel_public_dataset/valentini/stft_tcnn_medium_sigmoid_257x40_qdq_int8.onnx) | valentini | Int8 | 257x40 | STM32N6570-DK | NPU/MCU | 53.76 | 18.6 | 10.0.0 | 2.0.0 |
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  ### Metrics on the Valentini dataset
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  Please refer to the stm32ai-modelzoo-services GitHub [here](https://github.com/STMicroelectronics/stm32ai-modelzoo-services)
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  # STFT-TCNN
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  ## **Use case** : `speech enhancement`
 
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  ### Reference **NPU** memory footprint
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  |Model | Dataset | Format | Resolution | Series | Internal RAM | External RAM | Weights Flash | STM32Cube.AI version | STEdgeAI Core version |
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  |----------|------------------|--------|-------------|------------------|------------------|---------------------|-------|----------------------|-------------------------|
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+ | [STFT-TCNN Medium](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/speech_enhancement/stft_tcnn/ST_pretrainedmodel_public_dataset/valentini/stft_tcnn_medium_sigmoid_257x40_qdq_int8.onnx) | valentini | Int8 | 257x40 | STM32N6 | 100.09 | 0.0 | 1599.39 | 10.2.0 | 2.2.0 |
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  ### Reference **NPU** inference time
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  | Model | Dataset | Format | Resolution | Board | Execution Engine | Inference time (ms) | Inf / sec | STM32Cube.AI version | STEdgeAI Core version |
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  |--------|------------------|--------|-------------|------------------|------------------|---------------------|-------|----------------------|-------------------------|
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+ | [STFT-TCNN medium](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/speech_enhancement/stft_tcnn/ST_pretrainedmodel_public_dataset/valentini/stft_tcnn_medium_sigmoid_257x40_qdq_int8.onnx) | valentini | Int8 | 257x40 | STM32N6570-DK | NPU/MCU | 52.09 | 19.19 | 10.2.0 | 2.2.0 |
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  ### Metrics on the Valentini dataset
 
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  Please refer to the stm32ai-modelzoo-services GitHub [here](https://github.com/STMicroelectronics/stm32ai-modelzoo-services)
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