Voice Activity Detection based on Deep Learning & TensorFlow
Voice activity detection
Voice Activity Detection (VAD) using deep learning.
Efficient voice activity detection algorithms using long-term speech information in C++
Pytorch implementation of SELF-ATTENTIVE VAD, ICASSP 2021
Voice activity detection in Javascript
A statistical model-based Voice Activity Detection
Voice Activity Detection system (Matlab-based implementation)
A java wrapper around the WebRTC Voice Activity Detection library
🔈 Use python to achieve voice activity detection, this little program may be helpful for voice application
Voice Activity Detector in Python
Python interface to the WebRTC Voice Activity Detector
Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.
A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Voice activity detector (VAD) for the browser with a simple API