voice-activity-detection

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

Real-time microphone noise suppression on Linux.

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

Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.

The Open Source Alternative to Cluely - A lightning-fast, privacy-first AI assistant that works seamlessly during meetings, interviews, and conversations without anyone knowing. Built with Tauri for native performance, just 10MB. Completely undetectable in video calls, screen shares, and recordings.

Voice activity detector (VAD) for the browser with a simple API

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

💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies

Whisper.net. Speech to text made simple using Whisper Models

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

Alice is a voice-first desktop AI assistant application built with Vue.js, Vite, and Electron. Advanced memory system, function calling, MCP support, optional fully local use, and more.

Auto transcribe tool based on whisper

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.

Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.

Speech-to-Text based on SileroVAD + whisper.cpp (GGML Whisper) for ROS 2

Multi-speaker separation, identification, diarization ALL-IN-ONE. It can isolate the target speaker from a conversation audio and do ASR.

Callytics is an advanced call analytics solution that leverages speech recognition and large language models (LLMs) technologies to analyze phone conversations from customer service and call centers.

A Wyoming protocol ASR proxy that verifies speaker identity and isolates voice commands from background noise before forwarding audio to a downstream speech-to-text service. Designed for Home Assistant voice pipelines to prevent false activations from TVs, radios, and other people - and to deliver clean transcripts even in noisy environments.

On-device VAD / streaming STT / TTS / diarization in C++17 (ONNX + LiteRT) with a voice-agent pipeline. Linux, Windows, Android.

Spokestack: give your React Native app a voice interface!