Driver emotion profiling from speech

Humans sense, perceive, and convey emotion differently from each other due to physical, psychological, environmental, cultural, and language differences. For example, as recognized and studied by psychologists more than a century, it is easier for someone of the same culture to judge and recognize e...

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Main Authors:	Kamaruddin, Norhaslinda, Abdul Rahman, Abdul Wahab, Abut, Huseyin
Format:	Book Chapter
Language:	English
Published:	Springer Science+Business Media 2012
Subjects:	BF511 Affection. Feeling. Emotion
Online Access:	http://irep.iium.edu.my/38085/ http://irep.iium.edu.my/38085/ http://irep.iium.edu.my/38085/1/Driver_Emotion_Profiling_from_Speech.pdf

id	iium-38085
recordtype	eprints
spelling	iium-380852014-09-10T07:51:04Z http://irep.iium.edu.my/38085/ Driver emotion profiling from speech Kamaruddin, Norhaslinda Abdul Rahman, Abdul Wahab Abut, Huseyin BF511 Affection. Feeling. Emotion Humans sense, perceive, and convey emotion differently from each other due to physical, psychological, environmental, cultural, and language differences. For example, as recognized and studied by psychologists more than a century, it is easier for someone of the same culture to judge and recognize emotion correctly compared to those from different culture. In this chapter, we attempt to study the speech emotion recognition problem by using two speech corpora from the Berlin dataset and the NAW datasets. We have investigated the universality as well as diversity of two different cultural speech datasets recorded by German and American speakers, respectively. Experiments were conducted for identifying three basic emotions, namely, angry, sad, and happy with neutral as emotionless state from these datasets. MFCC coefficients were used as feature sets in the experiments, and MLP was employed as classifiers to compare the performance of these datasets. In addition, real-time recorded speech from drivers was also tested to see the performance in a vehicular setting. Finally, speech emotion profiling approach was introduced to explore the universality and diversity of the speech emotion features. Springer Science+Business Media 2012 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/38085/1/Driver_Emotion_Profiling_from_Speech.pdf Kamaruddin, Norhaslinda and Abdul Rahman, Abdul Wahab and Abut, Huseyin (2012) Driver emotion profiling from speech. In: Digital signal processing for in-vehicle systems and safety. Driver Behavior and Modeling Systems . Springer Science+Business Media, Springer New York Dordrecht Heidelberg London, pp. 21-29. ISBN 978-1-4419-9606-0 (P), 978-1-4419-9607-7 (O) http://www.springer.com/engineering/signals/book/978-1-4419-9606-0
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	BF511 Affection. Feeling. Emotion
spellingShingle	BF511 Affection. Feeling. Emotion Kamaruddin, Norhaslinda Abdul Rahman, Abdul Wahab Abut, Huseyin Driver emotion profiling from speech
description	Humans sense, perceive, and convey emotion differently from each other due to physical, psychological, environmental, cultural, and language differences. For example, as recognized and studied by psychologists more than a century, it is easier for someone of the same culture to judge and recognize emotion correctly compared to those from different culture. In this chapter, we attempt to study the speech emotion recognition problem by using two speech corpora from the Berlin dataset and the NAW datasets. We have investigated the universality as well as diversity of two different cultural speech datasets recorded by German and American speakers, respectively. Experiments were conducted for identifying three basic emotions, namely, angry, sad, and happy with neutral as emotionless state from these datasets. MFCC coefficients were used as feature sets in the experiments, and MLP was employed as classifiers to compare the performance of these datasets. In addition, real-time recorded speech from drivers was also tested to see the performance in a vehicular setting. Finally, speech emotion profiling approach was introduced to explore the universality and diversity of the speech emotion features.
format	Book Chapter
author	Kamaruddin, Norhaslinda Abdul Rahman, Abdul Wahab Abut, Huseyin
author_facet	Kamaruddin, Norhaslinda Abdul Rahman, Abdul Wahab Abut, Huseyin
author_sort	Kamaruddin, Norhaslinda
title	Driver emotion profiling from speech
title_short	Driver emotion profiling from speech
title_full	Driver emotion profiling from speech
title_fullStr	Driver emotion profiling from speech
title_full_unstemmed	Driver emotion profiling from speech
title_sort	driver emotion profiling from speech
publisher	Springer Science+Business Media
publishDate	2012
url	http://irep.iium.edu.my/38085/ http://irep.iium.edu.my/38085/ http://irep.iium.edu.my/38085/1/Driver_Emotion_Profiling_from_Speech.pdf
first_indexed	2023-09-18T20:54:39Z
last_indexed	2023-09-18T20:54:39Z
_version_	1777410223329247232

Driver emotion profiling from speech

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