An Effective Automatic Speech Emotion Recognition for Tamil language based on DWT and MFCC using Stability-Plasticity Dilemma Neural Network

被引：0

作者：

Ram, C. Sunitha ^{[1
]}

Ponnusamy, R. ^{[2
]}

机构：

[1] SCSVMV Univ, Dept CSE, Kanchipuram, India

[2] Madha Engn Coll, Chennai, Tamil Nadu, India

来源：

2014 INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND EMBEDDED SYSTEMS (ICICES) | 2014年

关键词：

Stability-Plasticity dilemma; MFCC; DWT; EASER;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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 and Discrete Wavelet Transform (DWT). A German Corpus - Berlin Database of Emotional Speech and our self built Tamil emotional databases are used for training purpose. The Neural network is trained using Stability-plasticity dilemma. Finally results are compared and explained.

引用

页数：6

共 27 条

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