speech-recognition
16 repositories with 10k+ stars are tagged speech-recognition.
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- 1

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
- 2

Port of OpenAI's Whisper model in C/C++
- 3
mozilla/DeepSpeechArchivedDeepSpeech 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.
- 4

Faster Whisper transcription with CTranslate2
- 5

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
- 6

Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
- 7

🧠 Leon is your open-source personal assistant.
- 8

kaldi-asr/kaldi is the official location of the Kaldi project.
- 9

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
- 10

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
- 11

Gradio WebUI for creators and developers, featuring key TTS (Edge-TTS, kokoro) and zero-shot Voice Cloning (E2 & F5-TTS, CosyVoice), with Whisper audio processing, YouTube download, Demucs vocal isolation, and multilingual translation.
- 12

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
- 13

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.
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- 15

Real-time, local speech-to-text with streaming ASR, speaker diarization, translation, and OpenAI/Deepgram-compatible APIs.
- 16

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