Analyzing Emotion in Spontaneous Speech (Hardcover, 1st ed. 2017)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	February 2018
First published:	2017
Authors:	Rupayan Chakraborty • Meghna Pandharipande • Sunil Kumar Kopparapu
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	81
Edition:	1st ed. 2017
ISBN-13:	978-981-10-7673-2
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction Books > Computing & IT > Computer software packages > Computer graphics software > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	981-10-7673-1
Barcode:	9789811076732

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