Recent Advances in Google Real-Time HMM-Driven Unit Selection Synthesizer

@inproceedings{Gonzalvo2016RecentAI,
  title={Recent Advances in Google Real-Time HMM-Driven Unit Selection Synthesizer},
  author={X. Gonzalvo and S. Tazari and Chun-an Chan and Markus Becker and Alexander Gutkin and Hanna Sil{\'e}n},
  booktitle={INTERSPEECH},
  year={2016}
}
This paper presents advances in Google’s hidden Markov model (HMM)-driven unit selection speech synthesis system. We describe several improvements to the run-time system; these include minimal latency, high-quality and fast refresh cycle for new voices. Traditionally unit selection synthesizers are limited in terms of the amount of data they can handle and the real applications they are built for. That is even more critical for reallife large-scale applications where high-quality is expected… Expand
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