While building a voice conversion app, I received a report like this:
"The recording is normal, but the converted voice speaks way too slowly."
The input audio was at a natural pace, but the conversion result sounded drawn out, almost like the speaker was drunk. Interestingly, this didn't happen with short clips—only with long recordings. This article is a record of my investigation, which revealed that the cause wasn't the conversion model or the audio format, but the "30-second limit" of Whisper, which I was using for semantic extraction.
Anyone using Whisper as a feature extractor in a pipeline (voice conversion, TTS, lip-sync, subtitle generation, etc.) can fall into this same trap.
Premise: The Pipeline Structure
