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Speech-Based Human Emotion Recognition: in Human-Computer Interaction - Couverture souple

Seyed Tabatabaei, Talieh

 
9783659142048: Speech-Based Human Emotion Recognition: in Human-Computer Interaction
Couverture souple
ISBN 10 : 3659142042 ISBN 13 : 9783659142048
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Automatic Emotion Recognition (AER) is an emerging research area in the Human-Computer Interaction (HCI) field. As Computers are becoming more and more popular every day, the study of interaction between humans (users) and computers is catching more attention. In order to have a more natural and friendly interface between humans and computers, it would be beneficial to give computers the ability to recognize situations the same way a human does. Equipped with an emotion recognition system, computers will be able to recognize their users' emotional states and show the appropriate reaction to that. In today's HCI systems, machines can recognize the speaker and also content of the speech, using speech recognition and speaker identification techniques. If machines are equipped with emotion recognition techniques, they can also know "how it is said" to react more appropriately, and make the interaction more natural. One of the most important human communication channels is the auditory channel which carries speech and vocal intonation. Therefore, in this book the speech signals are analyzed in order to set up an automatic system which recognizes the human emotional state.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Automatic Emotion Recognition (AER) is an emerging research area in the Human-Computer Interaction (HCI) field. As Computers are becoming more and more popular every day, the study of interaction between humans (users) and computers is catching more attention. In order to have a more natural and friendly interface between humans and computers, it would be beneficial to give computers the ability to recognize situations the same way a human does. Equipped with an emotion recognition system, computers will be able to recognize their users' emotional states and show the appropriate reaction to that. In today's HCI systems, machines can recognize the speaker and also content of the speech, using speech recognition and speaker identification techniques. If machines are equipped with emotion recognition techniques, they can also know "how it is said" to react more appropriately, and make the interaction more natural. One of the most important human communication channels is the auditory channel which carries speech and vocal intonation. Therefore, in this book the speech signals are analyzed in order to set up an automatic system which recognizes the human emotional state.

Biographie de l'auteur

Talieh received her MAS.c in Electrical and Computer Engineering in 2007 from Ryeron University, Toronto, Canada. Right now she is a research fellow at Centre for Pattern Analysis and Machine Intelligence (CPAMI)at University of Waterloo, Canada. Her areas of interest are Artificial Intelligence, Machine Learning, and Digital Signal Processing.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3659142042
ISBN 13 
9783659142048
Reliure
Broché
Nombre de pages
120
Coordonnées du fabricant
non disponible
Personne responsable
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