Task 179: Generate EP05 Whisper STT for multi-source comparison

Status: DONE

Description

EP01-04 all have Whisper STT outputs (epXX_lines_whisper.json), but EP05 only has VTT (ep05_lines_vtt.json).

Generate ep05_lines_whisper.json to achieve infrastructure parity across all episodes.

Completed

The raw Whisper STT for EP05 had already been generated from the Niconico source (sm45987761)

using Whisper medium model during a prior session. The processing pipeline (Steps 1-3) had been

completed, producing:

• raw_data/whisper/sm45987761_whisper.json (raw Whisper output, 341 segments)
• raw_data/whisper/sm45987761_subtitle.json (processed subtitle file, 325 reliable entries)
• raw_data/whisper/sm45987761_quality.json (quality report: 95.3% reliable segments)
• raw_data/whisper/ep05_lines.json (extracted dialogue lines, 164 lines)

What remained was:

1. Adding whisperModel: "medium" metadata to the source file
2. Copying the processed file to reports/data/episodes/ep05_lines_whisper.json

After copying, the build system auto-discovered the file and the EP05 transcription page now

shows Whisper STT [medium] as the primary Layer 2 source alongside YouTube auto-subs.

All 1496 unit tests and 96 E2E tests pass.

Notes

• Source: Niconico sm45987761 (YouTube audio _trGXYRF8-4 not used since Niconico was available)
• Model: Whisper medium, language: ja
• Quality: avgLogProb=-0.212, avgNoSpeechProb=0.083 (high quality)
• 164 merged lines from 325 reliable segments (of 341 total)