CMAC for speech emotion profiling

Cultural differences have been one of the many factors that can cause failures in speech emotion analysis. If this cultural parameter could be regarded as noise artifacts in detecting emotion in speech, we could then extract pure emotion speech signal from the raw emotional speech. In this paper we...

Full description

Bibliographic Details
Main Authors:	Kamaruddin, Norhaslinda, Abdul Rahman, Abdul Wahab
Format:	Conference or Workshop Item
Language:	English
Published:	2009
Subjects:	T Technology (General) T10.5 Communication of technical information
Online Access:	http://irep.iium.edu.my/10075/ http://irep.iium.edu.my/10075/4/AWahab_Interspeech_2009_IS090602.pdf

id	iium-10075
recordtype	eprints
spelling	iium-100752012-03-19T01:26:18Z http://irep.iium.edu.my/10075/ CMAC for speech emotion profiling Kamaruddin, Norhaslinda Abdul Rahman, Abdul Wahab T Technology (General) T10.5 Communication of technical information Cultural differences have been one of the many factors that can cause failures in speech emotion analysis. If this cultural parameter could be regarded as noise artifacts in detecting emotion in speech, we could then extract pure emotion speech signal from the raw emotional speech. In this paper we use the amplitude spectral subtraction (ASS) method to profile the emotion from raw emotional speech based on the affection space model. In addition, the robustness of the cerebellar model arithmetic computer (CMAC) is used to ensure that all other noise artifacts can be suppressed. Result from the speech emotion profiling shows potential of such technique to visualize hidden features for detecting intra-cultural and inter-cultural variation that is missing from current approach of speech emotion recognition 2009 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/10075/4/AWahab_Interspeech_2009_IS090602.pdf Kamaruddin, Norhaslinda and Abdul Rahman, Abdul Wahab (2009) CMAC for speech emotion profiling. In: Proceedimgs of the Interspeech 2009 10th Annual Conference of the International Speech Communication Association, 6 - 10 September 2010, Brighton, United Kingdom.
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General) T10.5 Communication of technical information
spellingShingle	T Technology (General) T10.5 Communication of technical information Kamaruddin, Norhaslinda Abdul Rahman, Abdul Wahab CMAC for speech emotion profiling
description	Cultural differences have been one of the many factors that can cause failures in speech emotion analysis. If this cultural parameter could be regarded as noise artifacts in detecting emotion in speech, we could then extract pure emotion speech signal from the raw emotional speech. In this paper we use the amplitude spectral subtraction (ASS) method to profile the emotion from raw emotional speech based on the affection space model. In addition, the robustness of the cerebellar model arithmetic computer (CMAC) is used to ensure that all other noise artifacts can be suppressed. Result from the speech emotion profiling shows potential of such technique to visualize hidden features for detecting intra-cultural and inter-cultural variation that is missing from current approach of speech emotion recognition
format	Conference or Workshop Item
author	Kamaruddin, Norhaslinda Abdul Rahman, Abdul Wahab
author_facet	Kamaruddin, Norhaslinda Abdul Rahman, Abdul Wahab
author_sort	Kamaruddin, Norhaslinda
title	CMAC for speech emotion profiling
title_short	CMAC for speech emotion profiling
title_full	CMAC for speech emotion profiling
title_fullStr	CMAC for speech emotion profiling
title_full_unstemmed	CMAC for speech emotion profiling
title_sort	cmac for speech emotion profiling
publishDate	2009
url	http://irep.iium.edu.my/10075/ http://irep.iium.edu.my/10075/4/AWahab_Interspeech_2009_IS090602.pdf
first_indexed	2023-09-18T20:19:33Z
last_indexed	2023-09-18T20:19:33Z
_version_	1777408014912847872

CMAC for speech emotion profiling

Similar Items