397 citations · 444 across the 4 of their papers we have counts for
4 papers
Multi-reference Tacotron by Intercross Training for Style Disentangling,Transfer and Control in Speech Synthesis
Yanyao Bian, Changbin Chen, Yongguo Kang +1
Speech style control and transfer techniques aim to enrich the diversity and expressiveness of synthesized speech. Existing approaches model all speech styles into one representati…
EMPHASIS: An Emotional Phoneme-based Acoustic Model for Speech Synthesis System
Hao Li, Yongguo Kang, Zhenyu Wang
We present EMPHASIS, an emotional phoneme-based acoustic model for speech synthesis system. EMPHASIS includes a phoneme duration prediction model and an acoustic parameter predicti…
Multi-task WaveNet: A Multi-task Generative Model for Statistical Parametric Speech Synthesis without Fundamental Frequency Conditions
Yu Gu, Yongguo Kang
This paper introduces an improved generative model for statistical parametric speech synthesis (SPSS) based on WaveNet under a multi-task learning framework. Different from the ori…
Deep Voice: Real-time Neural Text-to-Speech
Sercan O. Arik, Mike Chrzanowski, Adam Coates +9
We present Deep Voice, a production-quality text-to-speech system constructed entirely from deep neural networks. Deep Voice lays the groundwork for truly end-to-end neural speech…