mrq/tortoise-tts
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Another update

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James Betker 2022-03-10 23:33:48 -07:00
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README.md
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@ -51,15 +51,14 @@ python do_tts.py
I generated ~250 samples from 23 text prompts and 8 voices. The text prompts have never been seen by the model. The
voices were pulled from the training set.
All of the samples can be found in the results/ folder of this repo.
All of the samples can be found in the results/ folder of this repo. I handpicked a few to show what the model is capable of:
I handpicked a few to show what the model is capable of:
[Atkins - Road not taken](results/favorites/atkins_road_not_taken.wav)
[Dotrice - Rolling Stone interview](results/favorites/dotrice_rollingstone.wav)
[Dotrice - 'Ornaments' from tacotron test set](results/favorites/dotrice_tacotron_samp1.wav)
[Kennard - 'Acute emotional intelligence' from tacotron test set](results/favorites/kennard_tacotron_samp2.wav)
[Mol - Because I could not stop for death](results/favorites/mol_dickenson.wav)
[Mol - Obama](results/favorites/mol_obama.wav)
- [Atkins - Road not taken](results/favorites/atkins_road_not_taken.wav)
- [Dotrice - Rolling Stone interview](results/favorites/dotrice_rollingstone.wav)
- [Dotrice - 'Ornaments' from tacotron test set](results/favorites/dotrice_tacotron_samp1.wav)
- [Kennard - 'Acute emotional intelligence' from tacotron test set](results/favorites/kennard_tacotron_samp2.wav)
- [Mol - Because I could not stop for death](results/favorites/mol_dickenson.wav)
- [Mol - Obama](results/favorites/mol_obama.wav)
Prosody is remarkably good for poetry, despite the fact that it was never trained on poetry.