Simulink model of Mel Frequency Cepstral Coefficient analysis for extracting asphyxiated infant cry features

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Main Authors: Mohebbi Zulfikar, Mohd Ali, Wahida, Mansor, Lee, Yoot Kuan, Dr., Azlee, Zabidi
Other Authors: wahidamansor@salam.uitm.edu.my
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2012
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Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/21396
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spelling my.unimap-213962012-10-18T07:44:57Z Simulink model of Mel Frequency Cepstral Coefficient analysis for extracting asphyxiated infant cry features Mohebbi Zulfikar, Mohd Ali Wahida, Mansor Lee, Yoot Kuan, Dr. Azlee, Zabidi wahidamansor@salam.uitm.edu.my leeyootkhuan@salam.uitm.edu.my Infant cry Mel frequency cepstral coefficient Matlab simulink Link to publisher's homepage at http://ieeexplore.ieee.org/ Pathologic conditions such as deafness, asphyxia and others can be detected from infant cries in real time with a digital signal processor. This is only possible if the digital signal processor is embedded with a Simulink function model for the requisite signal processing. Prior to detection, it is found from previous works that the features of infant cry have to be extracted using the Mel Frequency Cepstral Coefficient analysis. Since the Simulink function model for MFCC analysis is currently unavailable, it then becomes the motivation of this paper to create it to be added to the Simulink function model library. This paper describes the development of the Simulink MFCC analysis model for extracting significant features of asphyxiated infant cry. The model is developed using a combination of four blocks of Matlab M-files. The output from the Simulink MFCC analysis model have been verified against those generated from the Matlab M-file algorithm from our previous work. They have also clearly shown differences between features extracted from normal and asphyxiated infant cry. As such, these features can then be used as input to a classifier. The classification of asphyxia from infant cry can become real time by downloading the Simulink MFCC analysis model and classifier to a Digital Signal Processor board, to become an assistive tool to the clinicians. 2012-10-18T07:44:57Z 2012-10-18T07:44:57Z 2012-02-27 Working Paper p. 475-478 978-145771989-9 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179062 http://hdl.handle.net/123456789/21396 en Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012) Institute of Electrical and Electronics Engineers (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Infant cry
Mel frequency cepstral coefficient
Matlab simulink
spellingShingle Infant cry
Mel frequency cepstral coefficient
Matlab simulink
Mohebbi Zulfikar, Mohd Ali
Wahida, Mansor
Lee, Yoot Kuan, Dr.
Azlee, Zabidi
Simulink model of Mel Frequency Cepstral Coefficient analysis for extracting asphyxiated infant cry features
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 wahidamansor@salam.uitm.edu.my
author_facet wahidamansor@salam.uitm.edu.my
Mohebbi Zulfikar, Mohd Ali
Wahida, Mansor
Lee, Yoot Kuan, Dr.
Azlee, Zabidi
format Working Paper
author Mohebbi Zulfikar, Mohd Ali
Wahida, Mansor
Lee, Yoot Kuan, Dr.
Azlee, Zabidi
author_sort Mohebbi Zulfikar, Mohd Ali
title Simulink model of Mel Frequency Cepstral Coefficient analysis for extracting asphyxiated infant cry features
title_short Simulink model of Mel Frequency Cepstral Coefficient analysis for extracting asphyxiated infant cry features
title_full Simulink model of Mel Frequency Cepstral Coefficient analysis for extracting asphyxiated infant cry features
title_fullStr Simulink model of Mel Frequency Cepstral Coefficient analysis for extracting asphyxiated infant cry features
title_full_unstemmed Simulink model of Mel Frequency Cepstral Coefficient analysis for extracting asphyxiated infant cry features
title_sort simulink model of mel frequency cepstral coefficient analysis for extracting asphyxiated infant cry features
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/21396
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score 13.160551