Title :
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
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;
Conference_Titel :
Issues and Challenges in Intelligent Computing Techniques (ICICT), 2014 International Conference on
Conference_Location :
Ghaziabad
DOI :
10.1109/ICICICT.2014.6781245
