WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
- asr
- speech
- speech-recognition
- speech-to-text
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WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
TranslatedNetflix-level subtitle cutting, translation, alignment, and even dubbing - one-click fully automated AI video subtitle team
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)
Real-time, local speech-to-text with streaming ASR, speaker diarization, translation, and OpenAI/Deepgram-compatible APIs.
High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model
Facebook AI Research's Automatic Speech Recognition Toolkit
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"
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.
A tool for automatic phoneme transcription