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This pull request enhances the speech processing capabilities of sherpa-onnx by integrating DPDFNet models for speech enhancement. It introduces both offline and streaming denoising functionalities, supporting various model profiles and sample rates. This expansion provides users with more advanced and flexible options for improving audio quality in diverse applications, from real-time communication to post-processing of recordings.
3.9 KiB
Executable File
3.9 KiB
Executable File
Introduction
This directory contains examples for the JAVA API of sherpa-onnx.
Usage
Non-streaming speech enhancement
./run-non-streaming-speech-enhancement-gtcrn.sh
The example file keeps the historical Gtcrn name, but the same offline
speech denoiser API also supports DPDFNet. Use 16 kHz DPDFNet models such as
baseline.onnx, dpdfnet2.onnx, dpdfnet4.onnx, or dpdfnet8.onnx for
downstream ASR and dpdfnet2_48khz_hr.onnx for 48 kHz enhancement output.
Non-streaming speaker diarization
./run-offline-speaker-diarization.sh
Streaming Speech recognition
./run-streaming-asr-from-mic-transducer.sh
./run-streaming-decode-file-ctc-hlg.sh
./run-streaming-decode-file-ctc.sh
./run-streaming-decode-file-paraformer.sh
./run-streaming-decode-file-tone-ctc.sh
./run-streaming-decode-file-transducer.sh
Non-Streaming Speech recognition
./run-non-streaming-decode-file-dolphin-ctc.sh
./run-non-streaming-decode-file-fire-red-asr-ctc.sh
./run-non-streaming-decode-file-fire-red-asr.sh
./run-non-streaming-decode-file-funasr-nano.sh
./run-non-streaming-decode-file-medasr-ctc.sh
./run-non-streaming-decode-file-moonshine.sh
./run-non-streaming-decode-file-moonshine-v2.sh
./run-non-streaming-decode-file-nemo-canary.sh
./run-non-streaming-decode-file-nemo.sh
./run-non-streaming-decode-file-omnilingual-asr-ctc.sh
./run-non-streaming-decode-file-paraformer.sh
./run-non-streaming-decode-file-sense-voice-with-hr.sh
./run-non-streaming-decode-file-sense-voice.sh
./run-non-streaming-decode-file-tele-speech-ctc.sh
./run-non-streaming-decode-file-transducer-hotwords.sh
./run-non-streaming-decode-file-transducer.sh
./run-non-streaming-decode-file-wenet-ctc.sh
./run-non-streaming-decode-file-whisper-multiple.sh
./run-non-streaming-decode-file-whisper.sh
./run-non-streaming-decode-file-zipformer-ctc.sh
Non-Streaming Speech recognition with homophone replacer
./run-non-streaming-decode-file-sense-voice-with-hr.sh
Non-Streaming text-to-speech
./run-non-streaming-tts-coqui-de.sh
./run-non-streaming-tts-kitten-en.sh
./run-non-streaming-tts-kokoro-en.sh
./run-non-streaming-tts-kokoro-zh-en.sh
./run-non-streaming-tts-matcha-en.sh
./run-non-streaming-tts-matcha-zh.sh
./run-non-streaming-tts-piper-en-with-callback.sh
./run-non-streaming-tts-piper-en.sh
./run-non-streaming-tts-vits-zh.sh
./run-pocket-tts.sh
Non-Streaming text-to-speech (Playback the audio as it is being generated)
./run-non-streaming-tts-piper-en-with-callback.sh
Spoken language identification
./run-spoken-language-identification-whisper.sh
Add punctuations to text
The punctuation model supports both English and Chinese.
./run-offline-add-punctuation-zh-en.sh
./run-online-add-punctuation-zh-en.sh
Audio tagging
./run-audio-tagging-zipformer-from-file.sh
./run-audio-tagging-ced-from-file.sh
Speaker identification
./run-speaker-identification.sh
VAD with a microphone
./run-vad-from-mic.sh
VAD with a microphone + Non-streaming SenseVoice for speech recognition
./run-vad-from-mic-non-streaming-sense-voice.sh
VAD with a microphone + Non-streaming Paraformer for speech recognition
./run-vad-from-mic-non-streaming-paraformer.sh
VAD with a microphone + Non-streaming Whisper tiny.en for speech recognition
./run-vad-from-mic-non-streaming-whisper.sh
VAD (Remove silence)
./run-vad-remove-slience.sh
./run-ten-vad-remove-slience.sh
VAD + Non-streaming Dolphin CTC for speech recognition
./run-vad-non-streaming-dolphin-ctc.sh
VAD + Non-streaming SenseVoice for speech recognition
./run-vad-non-streaming-sense-voice.sh
VAD + Non-streaming Paraformer for speech recognition
./run-vad-non-streaming-paraformer.sh
Keyword spotter
./run-kws-from-file.sh