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Non-linguistic analysis of call cent...
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Kopparapu, Sunil Kumar.
Non-linguistic analysis of call center conversations
Record Type:
Electronic resources : Monograph/item
Title/Author:
Non-linguistic analysis of call center conversationsby Sunil Kumar Kopparapu.
Author:
Kopparapu, Sunil Kumar.
Published:
Cham :Springer International Publishing :2015.
Description:
xii, 83 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Speech processing systems.
Online resource:
http://dx.doi.org/10.1007/978-3-319-00897-4
ISBN:
9783319008974 (electronic bk.)
Non-linguistic analysis of call center conversations
Kopparapu, Sunil Kumar.
Non-linguistic analysis of call center conversations
[electronic resource] /by Sunil Kumar Kopparapu. - Cham :Springer International Publishing :2015. - xii, 83 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in electrical and computer engineering,2191-8112. - SpringerBriefs in electrical and computer engineering..
Overview -- Voice Analytics Process -- Call Center Linguistic Analytics -- Non-linguistic Speech Processing -- Case Study.-Conclusions.
The book focuses on the part of the audio conversation not related to language such as speaking rate (in terms of number of syllables per unit time) and emotion centric features. This text examines using non-linguistics features to infer information from phone calls to call centers. The author analyzes "how" the conversation happens and not "what" the conversation is about by audio signal processing and analysis.
ISBN: 9783319008974 (electronic bk.)
Standard No.: 10.1007/978-3-319-00897-4doiSubjects--Topical Terms:
184755
Speech processing systems.
LC Class. No.: TK7882.S65
Dewey Class. No.: 006.454
Non-linguistic analysis of call center conversations
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Overview -- Voice Analytics Process -- Call Center Linguistic Analytics -- Non-linguistic Speech Processing -- Case Study.-Conclusions.
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The book focuses on the part of the audio conversation not related to language such as speaking rate (in terms of number of syllables per unit time) and emotion centric features. This text examines using non-linguistics features to infer information from phone calls to call centers. The author analyzes "how" the conversation happens and not "what" the conversation is about by audio signal processing and analysis.
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http://dx.doi.org/10.1007/978-3-319-00897-4
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Engineering (Springer-11647)
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EB TK7882.S65 K83 2015
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http://dx.doi.org/10.1007/978-3-319-00897-4
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