WhisperX
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
Plugins Filament, paquetes Laravel y starter kits open source mantenidos activamente. Todo MIT, con releases para v3, v4 y v5 cuando aplique.
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
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)
Automatic Speech Recognition with Speaker Diarization based on 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.
Controllable Transcription. Verbatim ( every, filler, pause, stutter, vocal sound) , or intended ( what the speaker meant to say, optimized for readability) with word-level timestamps.
ASR Configurator, Essentials and Atomic Testing
Todos los paquetes tienen CI, tests Pest e issues abiertas marcadas con good first issue.
Nueva versión disponible.