Discover the Best Open-Source Speech-recognition Projects Sorted by Stars

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

Port of OpenAI's Whisper model in C/C++

🧠 Leon is your open-source personal assistant.

kaldi-asr/kaldi is the official location of the Kaldi project.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

NeMo: a toolkit for conversational AI

Speech recognition module for Python, supporting several engines and APIs, online and offline.

End-to-End Speech Processing Toolkit

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

A PyTorch-based Speech Toolkit

:speech_balloon: Speech recognition for your site

Facebook AI Research's Automatic Speech Recognition Toolkit

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference

Faster Whisper transcription with CTranslate2

Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple