Emotion Recognition From Speech | Using In-Depth Analysis Of Glottal And Prosodic Features, Various Classifiers, Speech Corpora And Noise Conditions

Alexander I. Iliev

ISBN 10: 3847377604 / ISBN 13: 9783847377603

Published by LAP LAMBERT Academic Publishing, 2012

About this Item

Emotion Recognition From Speech | Using In-Depth Analysis Of Glottal And Prosodic Features, Various Classifiers, Speech Corpora And Noise Conditions | Alexander I. Iliev | Taschenbuch | 168 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783847377603 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 106581877

Bibliographic Details

• Title: Emotion Recognition From Speech | Using In-Depth Analysis Of Glottal And Prosodic Features, Various Classifiers, Speech Corpora And Noise Conditions
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2012
• Language: English
• ISBN 10: 3847377604
• ISBN 13: 9783847377603
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 11D millimeters 220 millimeters width by 150 millimeters height by 11 millimeters depth
• Weight: 268 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Emotion recognition from speech has received considerable attention in recent years. Fields like homeland security, remote monitoring of patients, improved communication for people with disabilities, and even closed captioning can greatly benefit from advances in the area. This book reveals some of the leading techniques in spoken emotion recognition and provides an in-depth analysis and comparison of key methodologies in the field. The reader is first introduced to some of the most important aspects of spoken emotion recognition. The author then reveals new feature domains, novel recognition methods and various feature extraction techniques all tested across different speech corpora. This work also reveals new emotion classification techniques and compares their recognition performance to some classical emotion recognition methods. In addition, all methods are tested in different real-world noisy conditions to compare their robustness. This is part of an effort to bring the scientific advancement in the field closer to the real-world product environment. In these terms this book constitutes a significant advancement in the area of emotion recognition from speech.

About the Author

Alexander I. Iliev earned a Ph.D. in Electrical and Computer Engineering and an M.S. in Music Engineering Technology from the University of Miami. He also earned an M.S. in Electrical Engineering from St. Ivan Rilski University and studied Multimedia Technologies at the Technical University of Sofia. Dr. Iliev has two patents in Audio Watermarking.