interview-transcription

Solid

Transcription workflows, recording management, and quote extraction for journalists. Use when processing audio/video recordings, generating transcripts with timestamps, extracting quotes for fact-checking, or building source-and-recording databases. For interview question design and pre-interview preparation, see the interview-prep skill.

Data & Documents 343 stars 58 forks Updated today MIT

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Skill Content

# Interview transcription and management Practical workflows for journalists managing interviews from preparation through publication. ## When to activate - Preparing questions for an interview - Processing audio/video recordings - Creating or managing transcripts - Organizing notes from multiple sources - Building a source relationship database - Generating timestamped quotes for fact-checking - Converting recordings to publishable quotes ## Recording setup for transcription For pre-interview research, question design, attribution agreements, and consent scripts, use the **interview-prep** skill. The notes here cover only the recording configuration that affects transcription quality. ```python # Standard recording configuration for clean transcription RECORDING_SETTINGS = { 'format': 'wav', # Lossless for transcription 'sample_rate': 16000, # Whisper resamples to 16k anyway; 16k saves disk 'channels': 1, # Mono is fine for speech; stereo only if mics are positionally distinct 'backup': True, # Always run a backup recorder } # File naming convention # YYYY-MM-DD_source-lastname_topic.wav # Example: 2026-05-08_smith_budget-hearing.wav ``` **Two-device rule.** Always record on two devices. Phone as backup minimum. If using a wireless lav mic, the recorder built into the lav unit is one device; the phone running a backup app is the second. **Mono is preferred** unless each speaker has their own dedicated microphone ...

Details

Author
jamditis
Repository
jamditis/claude-skills-journalism
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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