| name | whisperx-speech-recognition-timestamps-diarization |
| title | WhisperX Speech Recognition with Word-Level Timestamps and Diarization |
| description | WhisperX extends OpenAI Whisper with batched inference for 70x realtime transcription, phoneme-based word-level timestamp alignment via wav2vec2, voice activity detection, and speaker diarization. It produces accurate per-word timestamps and speaker labels from audio files. |
| category | Media & Transcription |
| framework | Multi-Framework |
| verification | security_reviewed |
| source | https://github.com/m-bain/whisperX |
| tool_ecosystem | {"github_repo":"m-bain/whisperX","github_stars":21036} |
WhisperX Speech Recognition with Word-Level Timestamps and Diarization
WhisperX extends OpenAI Whisper with batched inference for 70x realtime transcription, phoneme-based word-level timestamp alignment via wav2vec2, voice activity detection, and speaker diarization. It produces accurate per-word timestamps and speaker labels from audio files.
Installation
You can install this skill using any of these methods:
- OpenClaw skill installer
- ClawHub CLI
- Git clone into your skills directory
- Download and extract the skill folder manually
- Copy the skill folder from a local checkout
Source
