A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.

Silero VAD: pre-trained enterprise-grade Voice Activity Detector

Automagically synchronize subtitles with video.

faster_whisper GUI with PySide6

An audio/acoustic activity detection and audio segmentation tool

ICASSP 2023-2024 Papers: A complete collection of influential and exciting research papers from the ICASSP 2023-24 conferences. Explore the latest advancements in acoustics, speech and signal processing. Code included. Star the repository to support the advancement of audio and signal processing!

A SOTA Industrial-Grade All-in-One ASR system with ASR, VAD, LID, and Punc modules. FireRedASR2 supports Chinese (Mandarin, 20+ dialects/accents), English, code-switching, and both speech and singing ASR. FireRedVAD supports speech/singing/music in 100+ langs. FireRedLID supports 100+ langs and 20+ zh dialects. FireRedPunc supports zh and en.

Voice Activity Detection based on Deep Learning & TensorFlow

Experimental code: sound file preprocessing to optimize Whisper transcriptions without hallucinated texts

A SOTA Industrial-Grade Voice Activity Detection & Audio Event Detection, supporting 100+ languages, outperforming Silero-VAD, TEN-VAD, FunASR-VAD and WebRTC-VAD

On-device voice activity detection (VAD) powered by deep learning

This is an on-CPU real-time conversational system for two-way speech communication with AI models, utilizing a continuous streaming architecture for fluid conversations with immediate responses and natural interruption handling.

Pytorch implementation of SELF-ATTENTIVE VAD, ICASSP 2021

A local and uncensored AI entity.

An Tensorflow Re-Implement of CVPR 2019 "Object-centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video"

A python library for voice activity detection (VAD) for speech/non-speech segmentation.

Cascade is a production-ready, high-performance, and low-latency audio stream processing library designed for Voice Activity Detection (VAD). Built upon the excellent Silero VAD model, Cascade significantly reduces VAD processing latency while maintaining high accuracy through its 1:1:1 binding architecture and asynchronous streaming technology.

Voice Activity Detection LSTM-RNN learning model

PyTorch implementation of automatic speech recognition models.

High-performance, semantic turn detection for conversational AI