Browsing Master's Theses by Subject "Text to speech"
Now showing items 1-2 of 2
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Speaker adaptation with deep learning for text-to-speech synthesis systems
End-to-end (e2e) speech synthesis systems have become popular with the recent introduction of letter-to-spectrogram conversion systems, such as Tacotron, that use encoder-decoder-based neural architectures. Even though ... -
Speaker adaptation with minimal data in statistical speech synthesis systems
(2014-09)Statistical speech synthesis (SSS) systems have the ability to adapt to a target speaker with a couple of minutes of adaptation data. Developing adaptation algorithms to further reduce the number of adaptation utterances ...
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