automatic-speech-recognition

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

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

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

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

PORORO: Platform Of neuRal mOdels for natuRal language prOcessing

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

Open STT

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/ )

Streaming transcriber with whisper

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

OpenAI Whisper ASR Webservice API

集成了Tensorflow 2版本的端到端语音识别模型，并且RTF(实时率)在0.1左右/Mandarin State-of-the-art Automatic Speech Recognition in Tensorflow 2

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

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

End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

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

The dataset of Speech Recognition

🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow)

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.