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Author Pandharipande, M.A. ♦ Kopparapu, S.K.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Abstract Recognition of emotion expressed by a customer in spoken speech is gaining importance because of the expansion of services industry and the need to identify the sentiment of the customer which are not available through a text channel. In this paper, we propose a simple yet effective method to enhance the recognition accuracy of emotion in spoken speech. The approach is based on segmenting the audio into smaller, fixed length, segments and recognizing the emotion of each segment individually before fusing the identified emotions to mark the emotion of the audio file. We show through experiments the enhanced performance of the our method on a freely available emotion database called Emo-DB.
Description Author affiliation: TCS Innovation Labs., Tata Consultancy Services, Thane, India (Pandharipande, M.A.; Kopparapu, S.K.)
ISBN 9781479986392
ISSN 21593450
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-11-01
Publisher Place China
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781479986415
Size (in Bytes) 337.47 kB
Page Count 4
Starting Page 1
Ending Page 4


Source: IEEE Xplore Digital Library