File description

• ./http_server.py It defines which files to server. Files are saved in ./web.

• non_streaming_server.py WebSocket server for non-streaming models.

• vad-remove-non-speech-segments.py It uses silero-vad to remove non-speech segments and concatenate all speech segments into a single one.

• vad-with-non-streaming-asr.py It shows how to use VAD with a non-streaming ASR model for speech recognition from a microphone

• offline-speech-enhancement-gtcrn.py It shows how to use the offline speech denoiser API with GTCRN.

• offline-speech-enhancement-dpdfnet.py It shows how to use the offline speech denoiser API with DPDFNet.

• online-speech-enhancement-gtcrn.py It shows how to use the online speech denoiser API with GTCRN.

• 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, or dpdfnet8.onnx for downstream ASR and dpdfnet2_48khz_hr.onnx for 48 kHz enhancement output.

• pocket-tts.py It shows how to use PocketTTS with the GenerationConfig API.

• supertonic-tts.py It shows how to use SupertonicTTS with the GenerationConfig API.

• zipvoice-tts.py It shows how to use ZipVoice for zero-shot TTS with the GenerationConfig API.

• zipvoice-tts-play.py It shows how to use ZipVoice for zero-shot TTS and plays the generated audio while it is being synthesized.