Mlx Tune alternatives for AI agents.

A PyTorch-based Speech Toolkit

Faster Whisper transcription with CTranslate2

End-to-End Speech Processing Toolkit

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.

On-device, real-time multimodal AI. Have natural voice and vision conversations with an AI that runs entirely on your machine. Powered by Gemma 4 E2B and Kokoro.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Open source, local, and self-hosted highly optimized language inference server supporting ASR/STT, TTS, and LLM across WebRTC, REST, and WS

Tools for handling multimodal data in machine learning projects.

Open-source industrial-grade ASR models supporting Mandarin, Chinese dialects and English, achieving a new SOTA on public Mandarin ASR benchmarks, while also offering outstanding singing lyrics recognition capability.

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

Speech recognition module for Python, supporting several engines and APIs, online and offline.

Optimized Whisper models for streaming and on-device use

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统