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@@ -6,4 +6,6 @@ The model gets a respectable WER of 4.45% on the librispeech validation set. The
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  Since the model was fine-tuned on clean audio, it is not well-suited for noisy audio like CommonVoice (though I may upload a checkpoint for that soon too). It still does pretty good, though.
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- The vocabulary is uploaded to the model hub as well `jbetker/tacotron_symbols`.
 
 
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  Since the model was fine-tuned on clean audio, it is not well-suited for noisy audio like CommonVoice (though I may upload a checkpoint for that soon too). It still does pretty good, though.
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+ The vocabulary is uploaded to the model hub as well `jbetker/tacotron_symbols`.
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+ Check out my speech transcription script repo, [ocotillo](https://github.com/neonbjb/ocotillo) for usage examples: https://github.com/neonbjb/ocotillo