automatic-speech-recognition

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

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

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

OpenAI Whisper ASR Webservice API

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

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

PORORO: Platform Of neuRal mOdels for natuRal language prOcessing

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.

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

Open STT

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

Streaming transcriber with whisper

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

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

End-to-end ASR/LM implementation with PyTorch

This is a list of features, scripts, blogs and resources for better using Kaldi ( http://kaldi-asr.org/ )

Native Swift and CoreML SDK for local speaker diarization, VAD, and speech-to-text for real-time workloads. Works on iOS and macOS.

Offline Speech Recognition with OpenAI Whisper and TensorFlow Lite for Android

一个执着于让CPU\端侧-Model逼近GPU-Model性能的项目，CPU上的实时率(RTF)小于0.1

HuggingSound: A toolkit for speech-related tasks based on Hugging Face's tools