A method combining the global and time series structure features for emotion recognition in speech

Author

Cai, Lili ; Jiang, Chunhui ; Wang, Zhiping ; Zhao, Li ; Zou, Cairong

Author_Institution

Res. Center of Learning Sci., Southeast Univ., Jiangsu, China

Volume

2

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

904

Abstract

Combined the global and the vowel structure features, a novel method of utilizing modified quadratic discriminant function (MQDF) on emotional features extraction in speech signals is proposed in this paper. After 3000 emotional sentences involved such four emotions as happiness, anger, surprise and sadness were collected, the new method was used to analysis the features of the time, amplitude, pitch and formant construction. The experimental results show that the presented method in our paper can provide an effective performance in emotional recognition.

Keywords

emotion recognition; feature extraction; speech; speech recognition; time series; emotion recognition; emotional feature extraction; global structure feature; modified quadratic discriminant function; speech signals; time series structure features; vowel structure feature; Artificial intelligence; Character recognition; Emotion recognition; Humans; Information analysis; Mood; Neural networks; Speech analysis; Speech recognition; Speech synthesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on

Conference_Location

Nanjing

Print_ISBN

0-7803-7702-8

Type

conf

DOI

10.1109/ICNNSP.2003.1280746

Filename

1280746