whisperx-speech-recognition-timestamps-diarization

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:

1. OpenClaw skill installer
2. ClawHub CLI
3. Git clone into your skills directory
4. Download and extract the skill folder manually
5. Copy the skill folder from a local checkout

Source

• Agent Skill Exchange