There are 47 repositories under voice-activity-detection topic.
Real-time microphone noise suppression on Linux.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models.
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Command-line utility to transcribe/translate from video/audio/subtitles to subtitles
🔊 A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).
💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies
Python AI assistant 🧠
Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.
A python package to build AI-powered real-time audio applications
CNN-based audio segmentation toolkit. Allows to detect speech, music, noise and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.
Automatically synchronize and translate subtitles, or create new ones by transcribing, using pre-trained DNNs, Forced Alignments and Transformers. https://subaligner.readthedocs.io/
🗣️ A book and repo to get you started programming voice computing applications in Python (10 chapters and 200+ scripts).
Voice Activity Detection based on Deep Learning & TensorFlow
Auto transcribe tool based on whisper
Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
Voice Activity Detection (VAD) using deep learning.
A statistical model-based Voice Activity Detection
An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine
Repository for our Interspeech2020 general-purpose voice activity detection (GPVAD) paper
Pytorch implementation of SELF-ATTENTIVE VAD, ICASSP 2021
Matlab and Python libraries for an unsupervised method for robust voice activity detection (rVAD), as in the paper rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method.
This is the Python library for an unsupervised, fast method for robust voice activity detection (rVAD), as in the paper rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method.
The codebase for Data-driven general-purpose voice activity detection.
Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.
A python library for voice activity detection (VAD) for speech/non-speech segmentation.
♂️♀️ Detect a person's gender from a voice file (90.7% +/- 1.3% accuracy).
Extensible Android mobile voice framework: wakeword, ASR, NLU, and TTS. Easily add voice to any Android app!
A collection of basic python modules for spoken natural language processing
Spokestack: give your React Native app a voice interface!
Create modular, cross-browser, web audio pipelines to record and process audio in background threads. Comes with modules for VAD, ASR, resampling and much more...
Introduction to Speech Processing
Spokestack: give your iOS app a voice interface!