iEmoTTS: Toward Robust Cross-Speaker Emotion Transfer and Control for Speech Synthesis Based on Disentanglement Between Prosody and Timbre

Author:

Zhang Guangyan1ORCID,Qin Ying2ORCID,Zhang Wenjie1,Wu Jialun1,Li Mei1,Gai Yutao1ORCID,Jiang Feijun1,Lee Tan3ORCID

Affiliation:

1. Intelligent Connectivity, Cloud & Technology, Alibaba Group, Hangzhou, China

2. Institute of Information Science, Beijing Jiaotong University, Beijing, China

3. DSP & Speech Technology Laboratory, Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong

Funder

Alibaba Group through Alibaba Research Intern Program

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Reference64 articles.

1. Investigating different representations for modeling and controlling multiple emotions in DNN-based speech synthesis

2. A Study on the Efficacy of Model Pre-Training In Developing Neural Text-to-Speech System

3. Emotional end-to-end neural speech synthesizer;lee;Proc Adv Neural Inf Process Syst Neural Inf Process Syst Found,0

4. The concrete distribution: A continuous relaxation of discrete random variables;maddison;Proc Int Conf Learn Representations,0

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