automatic-speech-recognition

Real-time, local speech-to-text with streaming ASR, speaker diarization, translation, and OpenAI/Deepgram-compatible APIs.

Production First and Production Ready End-to-End Speech Recognition Toolkit

OpenAI Whisper ASR Webservice API

[AutoArk] GPA (General Purpose Audio) can do ASR, TTS and voice conversion with one tiny model!

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.

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

Voice Activity Detector (VAD) : low-latency, high-performance and lightweight

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.

:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords

Evaluate your speech-to-text system with similarity measures such as word error rate (WER)

Collection of resources on the applications of Large Language Models (LLMs) in Audio AI.

Offline Speech Recognition with OpenAI Whisper and TensorFlow Lite for Android

On-device streaming speech-to-text engine powered by deep learning

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.