WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
- asr
- speech
- speech-recognition
- speech-to-text
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A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
- machine-translation
- speaker-recognition
- asr
- tts
Real-time, local speech-to-text with streaming ASR, speaker diarization, translation, and OpenAI/Deepgram-compatible APIs.
- python
- real-time
- speaker-diarization
- speech-recognition
High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model
Facebook AI Research's Automatic Speech Recognition Toolkit
- wav2letter
- speech-recognition
- end-to-end
- deep-learning
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.
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
Code and Pretrained Models for Interspeech 2023 Paper "Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong Audio Event Taggers"
- audio
- audio-classification
- audio-processing
- audio-tagging
OpenScribe is an open-source AI scribe that records patient encounters and generates structured clinical notes automatically. You keep full control over data, workflows, and patient privacy with no vendor lock-in.
- ai
- clinical
- clinical-informatics
- ehr
A tool for automatic phoneme transcription
- speech-recognition
- machine-learning
- acoustic-models
- artificial-intelligence