An effective automatic speech emotion recognition for Tamil language using Support Vector Machine

Author

Ram, C. Sunitha ; Ponnusamy, R.

Author_Institution

Dept. of CSE, SCSVMV Univ., Kanchipuram, India

fYear

2014

fDate

7-8 Feb. 2014

Firstpage

19

Lastpage

23

Abstract

In this paper we put effort on Effective Automatic Speech emotion recognition on Human computer Interaction for Tamil speech. Due to the unavailability of Tamil language database for emotion recognition, we built a database of emotional speech in Tamil. This database consists of 19 wave clips modulated with anger, joy, fear, neutral and sad. Then we extract cepstral based features like MFCC. A German Corpus (Berlin Database of Emotional Speech and speaker dependent and speaker independent Tamil emotional databases was used for training and classification using Support Vector Machine (SVM). Finally results are compared and explained.

Keywords

cepstral analysis; emotion recognition; feature extraction; human computer interaction; natural language processing; speech recognition; support vector machines; Berlin database; German corpus; MFCC; SVM; Tamil language database; automatic speech emotion recognition; cepstral based feature extraction; emotional speech; human computer interaction; speaker independent Tamil emotional databases; support vector machine; Databases; Emotion recognition; Feature extraction; Mel frequency cepstral coefficient; Speech; Speech recognition; Support vector machines; EASER; MFCC; Support Vector Machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Issues and Challenges in Intelligent Computing Techniques (ICICT), 2014 International Conference on

Conference_Location

Ghaziabad

Type

conf

DOI

10.1109/ICICICT.2014.6781245

Filename

6781245