Content Creation
#ai
whisperx-speech-recognition-timestamps-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.
DeepseekModel
Curated skill
Quality Good · 64
v1.0.0
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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 Agent Skill Exchange
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The downloaded .skill package contains the following fields.
| Field | Description |
|---|---|
| format | Format tag (skill/v1) |
| skill_id | Unique skill ID |
| name | Skill name |
| version | Version |
| description | Description |
| category | Categories (array) |
| trigger_words | Trigger words |
| tags | Tags |
| source | Source |
| source_url | Source URL (this page) |
| exported_at | Exported at (set per download) |
| system_prompt | System prompt body |
| model_config | Model config: provider / model / temperature / max_tokens / top_p |
| examples | Examples |
| install_guide | Import guide for Coze / Dify / Claude / custom frameworks |
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