Title :
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
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;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1280746
