Automated Pipeline for Generating Training Corpora for TTS Voice Models

I've been operating a pipeline that automatically generates training corpora for voice synthesis models. The process involves having TTS read text, transcribing it with Whisper, comparing the transcription to the script, and saving only the clips that pass the quality check as training material. It's a straightforward setup.

While running a batch to produce 12 voices, two presenters failed to generate properly.

error: Too many rejected base corpus clips:

['base_07', 'base_11', 'base_46', 'base_51', 'base_55']