Skip to main content

transcribe-an-interview

Transcribe an interview with accurate words, speakers, timecodes, uncertainty, and source provenance. Use when recorded speech must support editing, research, captions, quotation, or review.

Informations de source

Dépôt
protosphinx/sphinxstack
Dernière activité de la source
29 juillet 2026 à 13:55
Langue détectée de SKILL.md
anglais
Étoiles
3
Forks
0

Options d'installation

Le prompt qui vérifie d'abord la source est sélectionné par défaut. Vous pouvez passer à une commande directe ou télécharger une copie locale.

Vérifiez les fichiers source

Lisez SKILL.md et les fichiers associés affichés par SkillsMP avant de décider de l'installer.

Explorateur de fichiers
2 fichiers

Affichage de SKILL.md

SKILL.md
Instructions source · Aperçu en lecture seule
name
transcribe-an-interview
category
write
description
Transcribe an interview with accurate words, speakers, timecodes, uncertainty, and source provenance. Use when recorded speech must support editing, research, captions, quotation, or review.
# transcribe-an-interview Create a searchable representation that never hides what the recording cannot establish. ## Procedure 1. Preserve the source and record file identifier, date, duration, language, channels, and checksum. 2. Choose verbatim or edited-verbatim scope and define notation. 3. Identify speakers only from reliable production evidence. 4. Transcribe words, meaningful pauses, crosstalk, non-speech sound, and language changes. 5. Insert regular timecodes and exact markers for quotes, uncertainty, or source switches. 6. Mark `[inaudible]`, `[unclear]`, and phonetic guesses without inventing text. 7. Verify names, terminology, numbers, and quotations against audio and authorized references. 8. Proofread while listening at normal speed and spot-check a second time. 9. Save versioned transcript and correction history with access controls. ## Guardrails - Never fabricate inaudible speech from context. - Do not identify an unknown speaker by guesswork. - Protect sensitive interview content and machine-transcription uploads. ## Done - A timecoded transcript document records source, speakers, words, sounds, and uncertainty - Names, numbers, quotations, and sampled time ranges are verified - Corrections and source provenance are recorded
Voir sur GitHub