#Voice-activity-detection
Showing 23 of 23 repositories tagged #voice-activity-detection, ranked by stars
Industrial-grade speech recognition toolkit: 170x realtime, 50+ languages, speaker diarization, emotion detection, streaming, and OpenAI-compatible API.
Real-time microphone noise suppression on Linux.
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Automagically synchronize subtitles with video.
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
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.
AI speech toolkit for Apple Silicon — ASR, TTS, speech-to-speech, VAD, and diarization powered by MLX and CoreML
A SOTA Industrial-Grade All-in-One ASR system with ASR, VAD, LID, and Punc modules. FireRedASR2 supports Chinese (Mandarin, 20+ dialects/accents), English, code-switching, and both speech and singing ASR. FireRedVAD supports speech/singing/music in 100+ langs. FireRedLID supports 100+ langs and 20+ zh dialects. FireRedPunc supports zh and en.
An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine
🗣️ A book and repo to get you started programming voice computing applications in Python (10 chapters and 200+ scripts).
Voice Activity Detection based on Deep Learning & TensorFlow
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.
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.
The codebase for Data-driven general-purpose voice activity detection.
♂️♀️ Detect a person's gender from a voice file (90.7% +/- 1.3% accuracy).
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.
On-device speech SDK for Android — ASR, TTS, VAD, and noise cancellation powered by ONNX Runtime with Qualcomm NNAPI acceleration
Spokestack: give your React Native app a voice interface!
A simple POC of FastRTC, a framework to use voice mode in python!
This is my Masters thesis project titled "Speaker Detection and Conversation Analysis on Mobile Devices".