Towards automatic recognition of emotion in speech

Author

Razak, Aishah Abd ; Yusof, Mohd Hafizuddin Mohd ; Komiya, Ryoichi

Author_Institution

Fac. of Information Technol., Multimedia Univ., Selangor, Malaysia

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

548

Lastpage

551

Abstract

This paper discusses an approach towards automatic recognition of emotion in speech using computer. First, a design for the emotion recognizer is proposed. LP analysis algorithm has been used for the speech emotion parameter extraction. A total of 22 speech features have been selected to represent each emotion. A database consisting of emotional Malay and English voice samples has been developed for training and recognition purposes. Fuzzy concept has been applied to recognize emotion of the selected voice sample. The result from computer recognition is compared to the human recognition rate to confirm the reliability of the result and also to explore how well people and computer can recognize emotion in speech. It is found that computer recognition of emotion is possible and the average recognition rate of 66% is satisfactory based on the comparison from the human perception. According to the confusion matrix table for both human and computer recognition, it is shown that the way human interprets emotion is different from computer.

Keywords

audio databases; emotion recognition; feature extraction; fuzzy set theory; matrix algebra; speech recognition; LP analysis algorithm; automatic emotion recognition; computer recognition; confusion matrix table; emotion recognizer; human perception; speech; speech emotion parameter extraction; Algorithm design and analysis; Automatic speech recognition; Emotion recognition; Humans; Information technology; Parameter extraction; Signal processing; Speech analysis; Speech processing; Speech recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Information Technology, 2003. ISSPIT 2003. Proceedings of the 3rd IEEE International Symposium on

Print_ISBN

0-7803-8292-7

Type

conf

DOI

10.1109/ISSPIT.2003.1341179

Filename

1341179