The NITech text-to-speech system for the Blizzard Challenge 2017
نویسندگان
چکیده
This paper describes a text-to-speech (TTS) system developed at the Nagoya Institute of Technology (NITech) for the Blizzard Challenge 2017. In the challenge, about seven hours of highly expressive speech data from English children’s audiobooks were provided as training data. For this challenge, we redesigned linguistic features for statistical parametric speech synthesis based on audiobooks. Furthermore, we introduced the parameter trajectory generation process considering the global variance into the training of mixture density network based acoustic models. Large-scale subjective evaluation results show that the NITech TTS system achieved naturally sounding and intelligible synthesized speech.
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