Smart Turn v2 is an open-source semantic voice activity detection (VAD) model that determines whether the speaker has finished speaking by analyzing the raw waveform.

Audio ProcessingSafetensorsOther

CoreML Silero VAD is a CoreML implementation of the Silero Voice Activity Detection (VAD) model, optimized for Apple platforms (iOS/macOS) and provides real-time voice activity detection capabilities.

Audio ProcessingCoremlEnglish

TEN VAD is a low-latency, lightweight, and high-performance streaming voice activity detection system, suitable for real-time voice processing scenarios.

Lightweight multilingual voice activity detection model supporting six languages (Chinese, English, French, German, Russian, Spanish) with only 91.5K parameters, suitable for real-time speech processing scenarios

Audio ProcessingPytorchMultiple Languages

A humming-aware voice activity detection model fine-tuned based on Silero-VAD, specifically designed to distinguish humming from actual speech

This is an end-to-end speaker segmentation model for voice activity detection, overlap speech detection, and resegmentation tasks.

Audio ProcessingTensorboard

A voice activity detection model based on pyannote.audio, used to identify active speech segments in audio

Audio ProcessingPyannote.audio

An audio processing model for speaker diarization and embedding, supporting automatic voice activity detection and overlapping speech detection.

Audio ProcessingPyannote.audio

FunASR is a foundational toolkit dedicated to bridging academic research and industrial applications in speech recognition, supporting various functions such as speech recognition, voice activity detection, and punctuation restoration.

Speaker diarization pipeline trained on pyannote.audio 3.0.0, supporting automatic voice activity detection, speaker change detection and overlapping speech detection

Audio ProcessingPyannote.audio

This is an end-to-end speaker diarization model that supports voice activity detection, overlap speech detection, and resegmentation tasks.

Audio ProcessingPytorch

A multi-task model for joint voice activity detection, speech signal-to-noise ratio, and C50 room acoustic parameter estimation

Audio ProcessingPytorch

Voice activity detection model based on pyannote.audio 2.1, used to identify speech activity segments in audio

Audio ProcessingPyannote.audio

An audio processing model for voice activity detection, overlap detection, and speaker diarization

Audio ProcessingPytorch