automatic-speech-recognition

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

OpenAI Whisper ASR Webservice API

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

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.

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

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

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

The dataset of Speech Recognition

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

🔉 Youtube Videos Transcription with OpenAI's Whisper

very fast speech-to-text, diarization, streaming (even in CPU) with NVIDIA Parakeet in Rust

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

Ultra fast and portable Parakeet implementation for on-device inference in C++ using Axiom with MPS+Unified Memory

A PyTorch implementation of the Deep Audio-Visual Speech Recognition paper.