Uncategorized

• Uncategorized

  • wiseman/*py-webrtcvad*
  • mwv/vad - forward re-implementation of Bowon Lee’s Voice Activity Detector.
  • halleytl/*pyvad*
  • jtkim-kaist/*VAD*
  • snakers4/silero-*vad* - trained enterprise-grade Voice Activity Detector, Language Classifier and Spoken Number Detector
  • marsbroshok/*VAD*-python
  • hcmlab/*vadnet* - time Voice Activity Detection in Noisy Environments using Deep Neural Networks
  • eesungkim/*Voice_Activity_Detector* - based Voice Activity Detection
  • jymsuper/*VAD_tutorial*
  • mounalab/*LSTM-RNN-VAD* - *RNN* learning model
  • RicherMans/*GPV* - purpose voice activity detection (GPVAD) paper
  • MaigoAkisame/*cmu-thesis*
  • amsehili/*auditok*
  • athena-team/*athena-signal* - signal is an open-source implementation of speech signal processing algorithms. It aims to help researchers and engineers who want to use speech signal processing algorithms in their own projects. Athena-signal is mainly implemented using C, and called by python.
  • SIP-Lab/*CNN-VAD*
  • filippogiruzzi/*voice_activity_detection*
  • nicklashansen/*voice*-*activity*-*detection*
  • marianne-m/*brouhaha-vad* - task training for voice activity detection, speech-to-noise ratio, and C50 room acoustics estimation (2023)
  • Picovoice/*cobra* - device voice activity detection (VAD) powered by deep learning.
  • Revai/reverb-diarization-pipeline-v2
  • pyannote/speaker-diarization-3.1 - source toolkit written in Python for speaker diarization. Based on PyTorch machine learning framework, it comes with state-of-the-art pretrained models and pipelines, that can be further finetuned to your own data for even better performance.
  • iic/speech_fsmn_vad_zh-cn-16k-common-pytorch - FSMN for large vocabulary continuous speech recognition. FSMN-Monophone VAD是达摩院语音团队提出的高效语音端点检测模型，用于检测输入音频中有效语音的起止时间点信息，并将检测出来的有效音频片段输入识别引擎进行识别，减少无效语音带来的识别错误。