TY  - JOUR
SN  - 19928645
IS  - 1
JF  - Journal of Theoretical and Applied Information Technology
TI  - Emotion detection through speech and facial expressions
N1  - cited By 0
ID  - scholars5580
N2  - Human-human communication in social environment is only possible through speech, facial expressions and bodily changes. In this research work, speech and facial expressions is used in order to estimate basic emotions (angry, sad, happy, boredom, disgusting and surprise) using a computer. A new asynchronous hybrid technique through Relative Bin Frequency Coefficients (RBFC) and Relative Sub-Image Base (RSB) is used in order to deal with the above modalities which are different in time, scale and dimension. Support Vector Machine (SVM) is used for classification. From experimental results, the proposed system performs better than the conventional systems. © 2005 - 2015 JATIT & LLS. All rights reserved.
EP  - 183
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949512505&partnerID=40&md5=3503f27b1ba72d8cf793564b2ce29109
A1  - Kudiri, K.M.
A1  - Said, A.M.
A1  - Nayan, M.Y.
SP  - 172
PB  - Asian Research Publishing Network
Y1  - 2015///
AV  - none
VL  - 82
ER  -