Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Automagically synchronize subtitles with video.
faster_whisper GUI with PySide6
An voice activity detection and audio segmentation tool
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.
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 Voice Activity Detection & Audio Event Detection, supporting 100+ languages, outperforming Silero-VAD, TEN-VAD, FunASR-VAD and WebRTC-VAD
Voice Activity Detection based on Deep Learning & TensorFlow
Experimental code: sound file preprocessing to optimize Whisper transcriptions without hallucinated texts
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.
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
High-performance, semantic turn detection for conversational AI
From-scratch voice agents in Python: end-to-end speech pipelines, runnable chapters, and a small shared library. Local models, explicit streaming behavior.
PyTorch implementation of automatic speech recognition models.
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