📅 2025-08-04 — Session: Enhanced Whisper Transcription and Diarization
🕒 13:30–14:20
🏷️ Labels: Whisper, Transcription, Audio Processing, Diarization, Automation
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to improve transcription quality and diarization using the Whisper model, focusing on Spanish audio and optimizing the transcription pipeline.
Key Activities
- Updated the Whisper transcription cell to disable timestamp post-processing and avoid slice-index errors.
- Assessed transcription quality issues in Spanish audio, recommending a switch to a multilingual model for better accuracy.
- Explored leveraging diarization for automatic speech recognition (ASR) to enhance transcription segmentation.
- Conducted a quality assessment of transcription outputs, comparing diarization-driven small-model runs against web app outputs.
- Outlined an end-to-end architecture for audio/video processing, converting content into AI-curated Markdown pages.
- Developed a robust ingestion pipeline for daily content harvesting, including subscription management and a daily scheduler.
Achievements
- Successfully updated the Whisper transcription settings to improve segment output.
- Identified and recommended solutions for transcription quality issues in Spanish audio.
- Established a scalable architecture for audio/video content processing.
Pending Tasks
- Implement the recommended switch to a multilingual model for Spanish audio transcription.
- Finalize the ingestion pipeline for daily content harvesting, ensuring seamless integration with existing systems.