Analyzing emotion in spontaneous speech /

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Bibliographic Details
Author / Creator:Chakraborty, Rupayan, author.
Imprint:Singapore : Springer Singapore : Imprint : Springer, [2017]
Description:1 online resource (XVI, 81 pages) : 31 illustrations
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11452003
Hidden Bibliographic Details
Other authors / contributors:Pandharipande, Meghna, author.
Kopparapu, Sunil K., author.
ISBN:9789811076749
981107674X
9789811076732
9811076731
Digital file characteristics:text file
PDF
Notes:Includes bibliographical references and index.
Online resource (viewed March 13, 2018).
Summary:This book captures the current challenges in automatic recognition of emotion in spontaneous speech and makes an effort to explain, elaborate, and propose possible solutions. Intelligent human?computer interaction (iHCI) systems thrive on several technologies like automatic speech recognition (ASR); speaker identification; language identification; image and video recognition; affect/mood/emotion analysis; and recognition, to name a few. Given the importance of spontaneity in any human?machine conversational speech, reliable recognition of emotion from naturally spoken spontaneous speech is crucial. While emotions, when explicitly demonstrated by an actor, are easy for a machine to recognize, the same is not true in the case of day-to-day, naturally spoken spontaneous speech. The book explores several reasons behind this, but one of the main reasons for this is that people, especially non-actors, do not explicitly demonstrate their emotion when they speak, thus making it difficult for machines to distinguish one emotion from another that is embedded in their spoken speech. This short book, based on some of authors? previously published books, in the area of audio emotion analysis, identifies the practical challenges in analysing emotions in spontaneous speech and puts forward several possible solutions that can assist in robustly determining the emotions expressed in spontaneous speech.
Other form:Printed edition: Chakraborty, Rupayan. Analyzing emotion in spontaneous speech 9789811076732
Standard no.:10.1007/978-981-10-7674-9

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245 1 0 |a Analyzing emotion in spontaneous speech /  |c by Rupayan Chakraborty, Meghna Pandharipande, Sunil Kumar Kopparapu. 
264 1 |a Singapore :  |b Springer Singapore :  |b Imprint :  |b Springer,  |c [2017] 
300 |a 1 online resource (XVI, 81 pages) :  |b 31 illustrations 
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505 0 |a Introduction -- Literature Survey -- A Framework for Spontaneous Speech Emotion Recognition -- Improving Emotion Classi?cation Accuracies -- Case Studies -- Conclusions -- Appendix -- Index. 
520 |a This book captures the current challenges in automatic recognition of emotion in spontaneous speech and makes an effort to explain, elaborate, and propose possible solutions. Intelligent human?computer interaction (iHCI) systems thrive on several technologies like automatic speech recognition (ASR); speaker identification; language identification; image and video recognition; affect/mood/emotion analysis; and recognition, to name a few. Given the importance of spontaneity in any human?machine conversational speech, reliable recognition of emotion from naturally spoken spontaneous speech is crucial. While emotions, when explicitly demonstrated by an actor, are easy for a machine to recognize, the same is not true in the case of day-to-day, naturally spoken spontaneous speech. The book explores several reasons behind this, but one of the main reasons for this is that people, especially non-actors, do not explicitly demonstrate their emotion when they speak, thus making it difficult for machines to distinguish one emotion from another that is embedded in their spoken speech. This short book, based on some of authors? previously published books, in the area of audio emotion analysis, identifies the practical challenges in analysing emotions in spontaneous speech and puts forward several possible solutions that can assist in robustly determining the emotions expressed in spontaneous speech. 
504 |a Includes bibliographical references and index. 
588 0 |a Online resource (viewed March 13, 2018). 
650 0 |a Computer science.  |0 http://id.loc.gov/authorities/subjects/sh89003285 
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650 0 |a Pattern perception.  |0 http://id.loc.gov/authorities/subjects/sh85098789 
650 0 |a Application software.  |0 http://id.loc.gov/authorities/subjects/sh90001980 
650 7 |a COMPUTERS  |x Speech & Audio Processing.  |2 bisacsh 
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655 4 |a Electronic books. 
700 1 |a Pandharipande, Meghna,  |e author. 
700 1 |a Kopparapu, Sunil K.,  |e author.  |0 http://id.loc.gov/authorities/names/n2001005530 
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