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| author | historia <historiavg@proton.me> | 2026-08-16 20:34:05 -0400 |
|---|---|---|
| committer | historia <historiavg@proton.me> | 2026-08-16 20:34:05 -0400 |
| commit | 2bb8f721092fe2f4d6ae6e425181094c1f0da57a (patch) | |
| tree | 49de85f0b8b8197a8eb73f989a2bf26109044635 /README.md | |
| parent | 12caa5275c5d904c1451ea9b6ef9e7ad241d969a (diff) | |
| download | tts-audiobook-generator-2bb8f721092fe2f4d6ae6e425181094c1f0da57a.tar.gz | |
readme
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -91,7 +91,7 @@ python audiobook_converter.py --voice-clone --voice-sample path/to/reference.wav The reference .wav should be ~10-15 seconds with a minimum of 3 seconds and maximum of 60 seconds. Longer is not better. ~15 seconds is ideal. -Omit `--voice-sample-text` and Whisper will be used automatically to transcribe the reference audio (`faster_whisper` or `whisper`). If no Whisper backend is installed, it falls back to x-vector-only cloning. +Whisper will be used automatically to transcribe the reference audio (`faster_whisper` or `whisper`). If no Whisper backend is installed, it falls back to x-vector-only cloning. To skip automatic transcription explicitly, pass `--no-transcription`. This should be worse, but in my experience may give a preferable flatter tone to certain voices. |