Real-time, local speech-to-text with streaming ASR, speaker diarization, translation, and OpenAI/Deepgram-compatible APIs.
- python
- real-time
- speaker-diarization
- speech-recognition
Repository Index
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Production First and Production Ready End-to-End Speech Recognition Toolkit
- e2e-models
- pytorch
- asr
- transformer
OpenAI Whisper ASR Webservice API
- automatic-speech-recognition
- speech-recognition
- speech-to-text
- openai-whisper
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.
[AutoArk] GPA (General Purpose Audio) can do ASR, TTS and voice conversion with one tiny model!
- automatic-speech-recognition
- text-to-speech
- transformer
- voice-conversion
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
- automatic-speech-recognition
- tensorflow
- timit-dataset
- feature-vector
🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
A 0.9B model for long-form transcription in 50+ languages with speaker diarization, timestamps, and acoustic event awareness
- audio
- automatic-speech-recognition
- multilingual
- speaker-diarization
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.
- asr
- industrial-grade
- llm
- multimodal-llm