Influence of Emotion Distribution and Classification on a Call Processing for an Emergency Call Center

The article addresses the influence of two aspects on speech emotion recognition utilization for an emergency call center: a frequency of a caller experiencing certain emotional state and classification methods used for speech emotion recognition. In situations when more simultaneous calls in an eme...

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Main Authors: M. Bojanić, V. Delić, A. Karpov
Format: Article
Language:English
Published: Telecommunications Society, Academic Mind 2021-12-01
Series:Telfor Journal
Subjects:
Online Access: http://journal.telfor.rs/Published/Vol13No2/Vol13No2_A3.pdf
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author M. Bojanić
V. Delić
A. Karpov
author_facet M. Bojanić
V. Delić
A. Karpov
author_sort M. Bojanić
collection DOAJ
description The article addresses the influence of two aspects on speech emotion recognition utilization for an emergency call center: a frequency of a caller experiencing certain emotional state and classification methods used for speech emotion recognition. In situations when more simultaneous calls in an emergency call center are received, the aim is to detect more urgent callers, e.g. in a life threating situation, and give them priority in a callers’ queue. Three different emotion distributions based on the corpora from real-world emergency call centers are considered. The influence of those emotion distributions on the proposed call redistribution and subsequent time savings are reported and discussed. Regarding speech emotion classification, two approaches are presented, namely the linear Bayes classifier and a multilayer perceptron-based neural network. Their recognition results on the corpus of acted emotional Serbian speech are presented and potential application in an emergency call center is discussed.
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spelling doaj.art-ebb418899d5040d1b115ff1baf4ccdc42022-12-22T04:41:02ZengTelecommunications Society, Academic MindTelfor Journal1821-32512021-12-01132758010.5937/telfor2102075BInfluence of Emotion Distribution and Classification on a Call Processing for an Emergency Call CenterM. BojanićV. DelićA. KarpovThe article addresses the influence of two aspects on speech emotion recognition utilization for an emergency call center: a frequency of a caller experiencing certain emotional state and classification methods used for speech emotion recognition. In situations when more simultaneous calls in an emergency call center are received, the aim is to detect more urgent callers, e.g. in a life threating situation, and give them priority in a callers’ queue. Three different emotion distributions based on the corpora from real-world emergency call centers are considered. The influence of those emotion distributions on the proposed call redistribution and subsequent time savings are reported and discussed. Regarding speech emotion classification, two approaches are presented, namely the linear Bayes classifier and a multilayer perceptron-based neural network. Their recognition results on the corpus of acted emotional Serbian speech are presented and potential application in an emergency call center is discussed. http://journal.telfor.rs/Published/Vol13No2/Vol13No2_A3.pdf affective computingcall centerspeech emotion recognition
spellingShingle M. Bojanić
V. Delić
A. Karpov
Influence of Emotion Distribution and Classification on a Call Processing for an Emergency Call Center
Telfor Journal
affective computing
call center
speech emotion recognition
title Influence of Emotion Distribution and Classification on a Call Processing for an Emergency Call Center
title_full Influence of Emotion Distribution and Classification on a Call Processing for an Emergency Call Center
title_fullStr Influence of Emotion Distribution and Classification on a Call Processing for an Emergency Call Center
title_full_unstemmed Influence of Emotion Distribution and Classification on a Call Processing for an Emergency Call Center
title_short Influence of Emotion Distribution and Classification on a Call Processing for an Emergency Call Center
title_sort influence of emotion distribution and classification on a call processing for an emergency call center
topic affective computing
call center
speech emotion recognition
url http://journal.telfor.rs/Published/Vol13No2/Vol13No2_A3.pdf
work_keys_str_mv AT mbojanic influenceofemotiondistributionandclassificationonacallprocessingforanemergencycallcenter
AT vdelic influenceofemotiondistributionandclassificationonacallprocessingforanemergencycallcenter
AT akarpov influenceofemotiondistributionandclassificationonacallprocessingforanemergencycallcenter