Fangjun Kuang
45fb4f5f0b
This PR adds online (streaming) speech denoising support for GTCRN alongside existing DPDFNet support, and updates multi-language bindings/examples to expose and validate the new capability.
1.4 KiB
File description
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./http_server.py It defines which files to server. Files are saved in ./web.
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non_streaming_server.py WebSocket server for non-streaming models.
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vad-remove-non-speech-segments.py It uses silero-vad to remove non-speech segments and concatenate all speech segments into a single one.
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vad-with-non-streaming-asr.py It shows how to use VAD with a non-streaming ASR model for speech recognition from a microphone
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offline-speech-enhancement-gtcrn.py It shows how to use the offline speech denoiser API with GTCRN.
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offline-speech-enhancement-dpdfnet.py It shows how to use the offline speech denoiser API with DPDFNet.
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online-speech-enhancement-gtcrn.py It shows how to use the online speech denoiser API with GTCRN.
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online-speech-enhancement-dpdfnet.py It shows how to use the online speech denoiser API with DPDFNet. models. Use 16 kHz DPDFNet models such as
dpdfnet_baseline.onnx,dpdfnet2.onnx,dpdfnet4.onnx, ordpdfnet8.onnxfor downstream ASR anddpdfnet2_48khz_hr.onnxfor 48 kHz enhancement output.