Analyzing Emotion in Spontaneous Speech / by Rupayan Chakraborty, Meghna Pandharipande, Sunil Kumar Kopparapu.
2017
TJ210.2-211.495
Linked e-resources
Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
Analyzing Emotion in Spontaneous Speech / by Rupayan Chakraborty, Meghna Pandharipande, Sunil Kumar Kopparapu.
ISBN
9789811076749
981107674X
9789811076732
981107674X
9789811076732
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
Available in Other Form
Print version: 9789811076732
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
All Resources
Table of Contents
Introduction
Literature Survey
A Framework for Spontaneous Speech Emotion Recognition
Improving Emotion Classi?cation Accuracies
Case Studies
Conclusions
Appendix
Index.
Literature Survey
A Framework for Spontaneous Speech Emotion Recognition
Improving Emotion Classi?cation Accuracies
Case Studies
Conclusions
Appendix
Index.