Voice Activity Detector (VAD) : low-latency, high-performance and lightweight
silero-vad 开源项目推荐(175 个)
silero-vad 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 175 个仓库Voice activity detector (VAD) for the browser with a simple API
Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
Desktop microphone recorder with real-time, on-device transcription, automatic audio segmentation, voice activity detection, and an MCP server for searching saved transcripts.
Speech synthesis, speech recognition and voice activity detection for voice conversation, in C++ on ggml: Qwen3-TTS, Irodori-TTS, Qwen3-ASR, ReazonSpeech, parakeet and Silero VAD on Metal, Vulkan and the CPU, with an OpenAI-compatible server and live transcription.
Very fast, accurate speaker diarization
Speech-to-Text based on SileroVAD + whisper.cpp (GGML Whisper) for ROS 2
AI语音解决方案,适用于ASB、人声提取、伴奏提取、音频去噪和增强等任务,支持paraformer、sensevoice、fireredasr、zipformer、moonshine、wenet、whisper、fsmn-vad、silero-vad、CT Transformer punc、Spleeter、Uvr 5等模型,在各种场景中应用ONNX模型。
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.
macOS的实时设备语音翻译。Silero VAD + Qwen3-ASR-1.7B + Qwen3.5(MLX)在苹果硅片上。没有云端,没有API密钥,没有遥测。
iOS Voice Activity Detection (VAD). Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
Tool for speech recognition using sensevoice-small
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.
Voice Activity Detection library for Rust with a unified trait interface over multiple backends (WebRTC VAD, Silero). Includes vad-lab, a web-based tool for live experimentation and comparison.
In this repository, I show you how to use SILERO VAD with ONNX-WEB runtime to run the VAD compeletely in the browser.
A sophisticated real-time voice assistant that seamlessly integrates speech recognition, AI reasoning, and neural text-to-speech synthesis. It is designed for natural conversational interactions with advanced tool-calling capabilities.
Production-ready batch inference for Cohere’s Arabic/English ASR model, with optimized Silero VAD, multi-file GPU batching, subtitles, and optional word-level timestamps.
High-throughput Silero VAD inference for CPU with multi-window ONNX execution and an optimized RFFT frontend.
Uses the excellent silero VAD with onnxruntime C api for fast detection of audio segments with speech
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.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/silero-vad。
- 该话题在 GitHub 上共有 175 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 6610 Star,覆盖 9 种主要语言,数据更新于 2026-11-11。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。