Emotional speech synthesis based on improved codebook mapping voice conversion

Authors:
Yu-Ping Wang;Zhen-Hua Ling;Ren-Hua Wang
Affiliations:
iFlytek Speech Laboratory, University of Science and Technology of China, Hefei;iFlytek Speech Laboratory, University of Science and Technology of China, Hefei;iFlytek Speech Laboratory, University of Science and Technology of China, Hefei
Venue:
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Year:
2005

Citing 2
Cited 0

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Voice conversion algorithm based on Gaussian mixture model with dynamic frequency warping of STRAIGHT spectrum

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Abstract

This paper presents a spectral transformation method for emotional speech synthesis based on voice conversion framework. Three emotions are studied, including anger, happiness and sadness. For the sake of high naturalness, superior speech quality and emotion expressiveness, our original STASC system is modified by introducing a new feature selection strategy and hierarchical codebook mapping procedure. Our result shows that the LSF coefficients at low frequency carry more emotion-relative information, and therefore only these coefficients are converted. Listening tests prove that the proposed method can achieve a satisfactory balance between emotional expression and speech quality of converted speech signals.