Time-frequency approach for analysis and synthesis of particular emotional voice

Author

Kobayashi, Mamoru ; Wada, Shigeo

Author_Institution

Graduate Sch. of Eng., Tokyo Denki Univ., Saitama

fYear

2005

fDate

21-21 Dec. 2005

Firstpage

51

Lastpage

56

Abstract

In this paper, the analysis and synthesis methods of particular emotional voice for man-machine natural interface is developed. First, the emotional voice (neutral, anger, sadness, joy, dislike) is analyzed using time-frequency representation of speech and similarity analysis. Then, based on the result of emotional analysis, a voice with neutral emotion is transformed to synthesize the particular emotional voice using time-frequency modifications. In the simulations, five types of emotion are analyzed using 50 samples of speech signals. The satisfactory average discrimination rate is achieved in the similarity analysis. Further, the synthesized emotional voice is subjectively evaluated. It is confirmed that the emotional voice is naturally generated by the proposed time-frequency based approach

Keywords

emotion recognition; speech recognition; time-frequency analysis; emotional voice analysis; emotional voice synthesis; man-machine natural interface; similarity analysis; speech signals; time-frequency approach; Analytical models; Hidden Markov models; Man machine systems; Prototypes; Signal analysis; Signal processing; Signal synthesis; Speech analysis; Speech synthesis; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Information Technology, 2005. Proceedings of the Fifth IEEE International Symposium on

Conference_Location

Athens

Print_ISBN

0-7803-9313-9

Type

conf

DOI

10.1109/ISSPIT.2005.1577069

Filename

1577069