Transcribe audio files into text with speaker diarization using OpenAI's Whisper models.
npx skills add https://github.com/lidge-jun/cli-jaw-skills --skill transcribe-lidge-jun
Please help me install this Agent Skill. Skill: transcribe Source: https://github.com/lidge-jun/cli-jaw-skills/tree/main/transcribe Command: npx skills add https://github.com/lidge-jun/cli-jaw-skills --skill transcribe-lidge-jun
This Skill converts spoken words in audio or video files into written text, making audio content searchable and editable.
Use the transcribe skill to convert the audio file meeting.m4a into a text transcript.
High-intent search queries and answers about installing and using this skill.
You transcribe audio by providing an audio or video file, which the Skill processes using OpenAI's Whisper models to convert spoken words into plain, editable text.
Yes, audio transcription supports speaker diarization to identify and label different speakers, and allows providing reference audio to improve known speaker identification accuracy.
The best way to transcribe multi-speaker meetings is using OpenAI's Whisper models with diarization enabled, which identifies who said what and outputs a searchable text transcript.
Yes, you need the OpenAI dependency to perform speech to text conversion, as the Skill leverages OpenAI's Whisper models for accurate transcription and speaker diarization.
Speaker diarization identifies different speakers in audio, and known speaker hints allow you to provide reference audio for specific individuals to improve labeling accuracy.
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191854169Transcribe audio to text locally using the Whisper CLI.
