WhisperX
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
Aktiv gepflegte Filament-Plugins, Laravel-Pakete und Open-Source-Starter-Kits. Alle MIT, mit Releases für v3, v4 und v5, sofern zutreffend.
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
Alle Pakete haben CI, Pest-Tests und offene Issues mit dem Tag good first issue.
Neue Version verfügbar.