Voice Activity Detection Python Packages

silero-vad

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

funasr

Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.

pywebrtc-audio

Python bindings for WebRTC's audio processing pipeline, bringing noise suppression, echo cancellation, automatic gain control, and voice activity detection to the Python ecosystem via pybind11.

auditok

An voice activity detection and audio segmentation tool

ffsubsync

Automagically synchronize subtitles with video.

fireredvad

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

livekit-plugins-tenvad

TEN VAD low-latency voice activity detection for real-time streaming, integrated with livekit-agents

silero-vad-lite

Lightweight wrapper for Silero VAD using internal ONNX Runtime and with no python package dependencies

sherpa-ncnn

Real-time speech recognition and voice activity detection (VAD) using next-gen Kaldi with ncnn without Internet connection. Support iOS, Android, Linux, macOS, Windows, Raspberry Pi, VisionFive2, LicheePi4A etc.

inaspeechsegmenter

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.

funasr-onnx

Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.

decibri

Cross-platform audio capture, playback, VAD, AEC, audio conditioning, and multichannel support for Python and Node.js, powered by a Rust core.

diarize

Speaker diarization for Python — "who spoke when?" CPU-only, no API keys, Apache 2.0. ~10.8% DER on VoxConverse, 8x faster than real-time.

earshot

Ridiculously fast & accurate streaming voice activity detection

pvcobra

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

whisper-s2t

An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine

diart

A python package to build AI-powered real-time audio applications

attenlabs-saa

Addressee detection for voice agents: device-directed speech detection that runs before STT, so background speech, side conversations, and the agent's own TTS echo never trigger it. No wake word, model-agnostic, drop-in for LiveKit, Pipecat, ElevenLabs, Twilio, and OpenAI. The layer your VAD and turn detection are missing.

subaligner

Automatically synchronize and translate subtitles, or create new ones by transcribing, using pre-trained DNNs, Forced Alignments and Transformers. https://subaligner.readthedocs.io/

inavamos

inaVAMOS: Voice And Music Open Segmenter

speechdsp

Speech DSP toolkit in pure NumPy/SciPy: STFT, MFCC, VAD, log-MMSE enhancement and imbalance-aware metrics (UAR). No librosa or deep learning required.

rvadfast

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.

saa-pipecat-client

Addressee detection for voice agents: device-directed speech detection that runs before STT, so background speech, side conversations, and the agent's own TTS echo never trigger it. No wake word, model-agnostic, drop-in for LiveKit, Pipecat, ElevenLabs, Twilio, and OpenAI. The layer your VAD and turn detection are missing.

saa-livekit-client

Addressee detection for voice agents: device-directed speech detection that runs before STT, so background speech, side conversations, and the agent's own TTS echo never trigger it. No wake word, model-agnostic, drop-in for LiveKit, Pipecat, ElevenLabs, Twilio, and OpenAI. The layer your VAD and turn detection are missing.