An Overview and Preparation for Recognition of Emotion from Speech Signal with Multi Modal Fusion

被引：1
|
作者：
Meshram, A. P. [1 ]
Shirbahadurkar, S. D. [2 ]
Kohok, Ashwini [1 ]
Jadhav, Smita [3 ]
机构：
[1] Samajs Coll Engn, NDMVP, E&TC Dept, Nasik, MS, India
[2] JSPMs Rajarshi Shahu Coll Engn, E&TC Dept, Pune, MS, India
[3] Samajs Coll Engn, NDMVP, Instrumentat Dept, Nasik, MS, India
来源：
2010 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2010), VOL 5 | 2010年
关键词：
Emotion Recognition; Gaussian mixture model; Fusion Algorithm; k-nearest neighborhood;
D O I：
10.1109/ICCAE.2010.5451242
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The goal of this work is to build emotion detection system which utilizes fusion of different timescale features of speech. Conventional spectral and prosody features are used and a new information fusion algorithm which takes care of the characteristics of each machine learning algorithm will be introduced in the paper.
引用
收藏
页码：446 / 452
页数：7
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