NDLI: Bhattacharyya distance based emotional dissimilarity measure for emotion classification

Content Provider	IEEE Xplore Digital Library
Author	Tin Lay Nwe Nguyen Trung Hieu Limbu, D.K.
Copyright Year	2013
Description	Author affiliation: Human Language Technol. Dept., A*STAR, Singapore, Singapore (Tin Lay Nwe; Nguyen Trung Hieu; Limbu, D.K.)
Abstract	Speech is one of the most important signals that can be used to detect human emotions. When speech is modulated by different emotions, spectral distribution of speech is changed accordingly. A Gaussian Mixture Model(GMM) can model the changes in spectral distributions effectively. A GMM-supervector characterizes the spectral distribution of an emotion utterance by the GMM parameters such as the mean vectors and covariance matrices. In this paper, we propose to use the GMM-supervectors that characterize the emotional spectral dissimilarity measure for emotion classification. We employ the GMM-SVM kernel with Bhattacharyya based GMM distance to obtain dissimilarity measure. Beside the first-order statistics of mean, we consider dissimilarity measure using second-order statistics of covariance which describe the shape of the distribution. Experiments are conducted using SVM classifier to classify emotions of anger, happiness, neutral and sadness. We achieve average accuracy of 78.14% for speaker independent emotion classification.
Starting Page	7512
Ending Page	7516
File Size	251037
Page Count	5
File Format	PDF
ISBN	9781479903566
ISSN	15206149
DOI	10.1109/ICASSP.2013.6639123
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-26
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kernel Support vector machines Mathematical model Speech Equations Feature extraction Speech recognition Support Vector Machine (SVM) Emotion classification emotional dissimilarity measure Gaussian Mixture Model (GMM) supervector
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

GMM-SVM Kernel With a Bhattacharyya-Based Distance for Speaker Recognition

A GMM supervector Kernel with the Bhattacharyya distance for SVM based speaker recognition

GMM Supervector Based SVM with Spectral Features for Speech Emotion Recognition

A GMM-supervector kernel with the Bhattacharyya distance for SVM-based speaker recognition (2009)

An SVM Kernel With GMM-Supervector Based on the Bhattacharyya Distance for Speaker Recognition

Evaluation of GMM-based features for SVM speaker verification

Comparison of adaptation methods for GMM-SVM based speech emotion recognition

Age and gender recognition for telephone applications based on GMM supervectors and support vector machines

Significance of utterance partitioning in GMM-SVM based speaker verification in varying background environment

Bhattacharyya distance based emotional dissimilarity measure for emotion classification

Similar Documents

GMM-SVM Kernel With a Bhattacharyya-Based Distance for Speaker Recognition

A GMM supervector Kernel with the Bhattacharyya distance for SVM based speaker recognition

GMM Supervector Based SVM with Spectral Features for Speech Emotion Recognition

A GMM-supervector kernel with the Bhattacharyya distance for SVM-based speaker recognition (2009)

An SVM Kernel With GMM-Supervector Based on the Bhattacharyya Distance for Speaker Recognition

Evaluation of GMM-based features for SVM speaker verification

Comparison of adaptation methods for GMM-SVM based speech emotion recognition

Age and gender recognition for telephone applications based on GMM supervectors and support vector machines

Significance of utterance partitioning in GMM-SVM based speaker verification in varying background environment

Bhattacharyya distance based emotional dissimilarity measure for emotion classification