eprintid: 2782
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/27/82
datestamp: 2023-11-09 15:51:01
lastmod: 2023-11-09 15:51:01
status_changed: 2023-11-09 15:44:16
type: conference_item
metadata_visibility: show
creators_name: Mohan Kudiri, K.
creators_name: Md Said, A.
creators_name: Nayan, M.Y.
title: Emotion detection using relative amplitude-based features through speech
ispublished: pub
keywords: Active parts; Automatic speech recognition; Emotion detection; Frequency coefficient; Frequency features; Human-machine; Interpersonal relationship; Non-verbal communications; Relative amplitude; relative sub-image based features; Speech signals; Wave amplitudes, Communication; Information science; Support vector machines; Technology, Bins
note: cited By 6; Conference of 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 ; Conference Date: 12 June 2012 Through 14 June 2012; Conference Code:93334
abstract: Automatic speech recognition analysis has been an active part in computer science for more than two decades. In general, to detect an emotion, long continuous signal is needed. Relative amplitude reduces bias of glottal mutation of speech wave amplitude and obtains a normalized measure without concern of information from being distinct in feature. Nonverbal communication plays crucial role in human-human or human-machine interpersonal relationships. In this paper, we propose the use of relative bin frequency coefficients for speech signal segmentation. Here, the support vector machine classifier is used to implement automatic emotion detection system. © 2012 IEEE.
date: 2012
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867918939&doi=10.1109%2fICCISci.2012.6297301&partnerID=40&md5=5d16ad70ef5e2602b8509e95ea8abde1
id_number: 10.1109/ICCISci.2012.6297301
full_text_status: none
publication: 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings
volume: 1
place_of_pub: Kuala Lumpur
pagerange: 522-525
refereed: TRUE
isbn: 9781467319386
citation:   Mohan Kudiri, K. and Md Said, A. and Nayan, M.Y.  (2012) Emotion detection using relative amplitude-based features through speech.  In: UNSPECIFIED.