Transcribe audio files to text using OpenAI's GPT-4o models.
npx skills add https://github.com/guhans6/agent-workbench --skill transcribe-guhans6
Please help me install this Agent Skill. Skill: transcribe Source: https://github.com/guhans6/agent-workbench/tree/main/shared/skills/transcribe Command: npx skills add https://github.com/guhans6/agent-workbench --skill transcribe-guhans6
This Skill automates the transcription of audio files into text, with optional speaker diarization, streamlining the process of converting speech to written content.
Use the transcribe skill to transcribe the audio file 'meeting.m4a' and output the result as a JSON file.
High-intent search queries and answers about installing and using this skill.
Audio transcription for meetings is automated using OpenAI's GPT-4o models to convert speech to text. This process requires an OpenAI API key and a Python environment to execute the transcription script and output the result.
Speaker diarization identifies and labels different speakers in an audio file during transcription. This feature is optional and can be enabled to provide detailed, speaker-specific text output for interviews or meetings.
Speaker diarization for interview audio processing works by identifying individual speakers and labeling their respective dialogue. It utilizes OpenAI's GPT-4o models to parse the audio and structure the transcribed text accordingly.
An OpenAI API key is required to extract text from audio files using this transcription method. The Python environment also needs the OpenAI dependency installed to communicate with the GPT-4o models.
Transcribing m4a audio files into JSON is handled by running a Python script that leverages OpenAI's GPT-4o models. The script processes the audio input and outputs the extracted text and speaker labels directly into a JSON file.
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