speech-recognition

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.

💬 Speech recognition for your site

Facebook AI Research's Automatic Speech Recognition Toolkit

On-device Speech AI for Apple Silicon

FunASR-powered video transcription, subtitle generation, and LLM-assisted clipping tool with a local Gradio UI.

Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper

Machine Learning and Agentic AI Resources, Practice and Research

Voice Recognition to Text Tool / 一个离线运行的本地音视频转字幕工具，输出json、srt字幕、纯文字格式

JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

A small speech recognizer

OpenAI Whisper ASR Webservice API

Whisper & Faster-Whisper standalone executables for those who don't want to bother with Python.

Open source, local, and self-hosted Amazon Echo/Google Home competitive Voice Assistant alternative

Transcribe any audio to text, translate and edit subtitles 100% locally with a web UI. Powered by whisper models!

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks

On-device, real-time multimodal AI with features similar to GPT-Live