TEN VAD: low-latency high-performance Voice Activity Detector
Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
In this repository, I show you how to use SILERO VAD with ONNX-WEB runtime to run the VAD compeletely in the browser.
A real-time Voice Activity Detection (VAD) library for iOS and macOS using Silero models powered by ONNX Runtime. Includes advanced noise suppression and audio preprocessing with WebRTC APM, supporting seamless WAV data output with header metadata.
iOS Voice Activity Detection (VAD). Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
Audio transcription using mlx whisper and vad silence processing
Uses the excellent silero VAD with onnxruntime C api for fast detection of audio segments with speech
VAD is a cross-platform Dart binding for the VAD JavaScript library. This package provides access to a Voice Activity Detection (VAD) system, allowing Flutter applications to start and stop VAD-based listening and handle various VAD events.
Python script for detect silences with Silero-VAD and transcribing with the whisper AI model.
This repo provides an addon that can perform VAD model reasoning in nodes and electric environments, based on cmake-js and Fastdeploy. Silero VAD is a pre-trained enterprise-grade Voice Activity Detector.
Experimental voice user interface (VUI) to interact with an AI assistant
C++ implementation of real-time Voice Activity Detection (VAD) using Silero models with ONNX Runtime and WebRTC Audio Processing. Provides precise voice segmentation and cross-platform XCFramework support.
Youtube Text Live Streaming in CLI
A voice assistant with local LLM as a backend
Real-time speech-to-text translation over WebSocket. Streams Opus or raw PCM audio from client to server for live transcription and optional translation. Supports CLI and Python API.
Test comparison of two VAD models with English and multilingual speech datasets
Real-time Voice Activity Detection (VAD) library for Android using Silero models powered by ONNX Runtime. Includes advanced noise suppression and audio preprocessing with WebRTC APM, supporting seamless WAV data output with header metadata.
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
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