Analyzing Emotion in Spontaneous Speech / by Rupayan Chakraborty, Meghna Pandharipande, Sunil Kumar Kopparapu.
Chakraborty, Rupayan. author.; Pandharipande, Meghna. author.; Kopparapu, Sunil Kumar. author.
2017
TJ210.2-211.495
Available Online

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Title Analyzing Emotion in Spontaneous Speech / by Rupayan Chakraborty, Meghna Pandharipande, Sunil Kumar Kopparapu.
Author Chakraborty, Rupayan. author.
ISBN 9789811076749
981107674X
9789811076732
DOI https://doi.org/10.1007/978-981-10-7674-9
Published Singapore : Springer Singapore : Imprint: Springer, 2017.
Language English
Description 1 online resource (xvi, 81 pages)
Item Number 10.1007/978-981-10-7674-9 doi
Call Number TJ210.2-211.495
Dewey Decimal Classification 006.4/54
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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Added Author Pandharipande, Meghna. author.
Kopparapu, Sunil Kumar. author.
Available in Other Form Print version: 9789811076732
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Introduction
Literature Survey
A Framework for Spontaneous Speech Emotion Recognition
Improving Emotion Classi?cation Accuracies
Case Studies
Conclusions
Appendix
Index.

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