Improvement Of Speech Emotion Recognition with Neural Network Classifier by Using Speech Spectrogram

被引：0
|
作者：
Prasomphan, Sathit [1 ]
机构：
[1] King Mongkuts Univ Technol North Bangkok, Fac Sci Appl, Dept Comp & Informat Sci, Bangkok 10800, Thailand
来源：
2015 INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP 2015) | 2015年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This research presents a novel algorithm for detecting human emotion via speech recognition by using speech spectrogram. The proposed algorithm aims to detect the emotional by using information inside the spectrogram. Neural network was used for being the classifier. A new approach to feature extraction based on analysis of two dimensions time-frequency representation of a speech signal have been presented. The algorithm was tested with EMO-Database. The experimental results show that the proposed framework can efficiently find the correct speech emotion compared to using the comparing method.
引用
收藏
页码：73 / 76
页数：4
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