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Since the LibriTTS dataset doesn't include punctuation, the StyleTTS2 model won't change it's tone based on it. Maybe a quick-fix if that's too much effort: Have multiple reference files for different end of sentence punctuations? |
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I've been using Styletts2 lately since it allows me to kind of control the emotion of the generated speech using voice cloning, which is the best TTS for my use case,
but one problem is that I get the exact same tone whether or not I add a question mark or exclamation point at the end of the sentence. I assume this is because it's not an auto regressive model, but is it possible to e.g. enhance the questioning tone of the generated sentences?
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