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)
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.
Speech recognition module for Python, supporting several engines and APIs, online and offline.
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
Native speech-to-text for Linux - Fast, accurate, private, and hackable system-wide dictation
Code and Pretrained Models for Interspeech 2023 Paper "Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong Audio Event Taggers"
OtosakuStreamingASR-iOS is a real-time speech recognition engine for iOS, built with Swift and Core ML. It uses a fast and lightweight streaming Conformer model optimized for on-device inference. Designed for developers who need efficient audio transcription on mobile.