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Dog voice identification (ID) for detection system

Voice recognition systems have become the important applications for speech recognition technology. In this paper, an animal identification (ID) detection system based on animal voice pattern recognition algorithm has been developed. The developed animal voice recognition system uses the zero-cross-...

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Main Authors: Yeo, Che Yong, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Ng, Chee Kyun
Format: Conference or Workshop Item
Language:English
Published: IEEE 2012
Online Access:http://psasir.upm.edu.my/id/eprint/69338/1/Dog%20voice%20identification%20%28ID%29%20for%20detection%20system.pdf
http://psasir.upm.edu.my/id/eprint/69338/
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spelling my.upm.eprints.693382019-07-02T08:00:06Z http://psasir.upm.edu.my/id/eprint/69338/ Dog voice identification (ID) for detection system Yeo, Che Yong Syed Mohamed, Syed Abdul Rahman Al-Haddad Ng, Chee Kyun Voice recognition systems have become the important applications for speech recognition technology. In this paper, an animal identification (ID) detection system based on animal voice pattern recognition algorithm has been developed. The developed animal voice recognition system uses the zero-cross-rate (ZCR), Mel-Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW) joint algorithms as the tools for recognizing the voice of the particular animal. ZCR is used for the end point detection of input voice such that the silence voice can be removed. MFCC is used for the process of feature extraction where a more compact and less redundant of the representative voice can be obtained from the input voice. While the voice pattern classification will be done by using DTW algorithm. The DTW voice pattern classification module is playing a very important role as it is used to get the optimal path between the input voice and the reference voice in the database. The obtained results show that the developed recognition system can be worked as expected. IEEE 2012 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/69338/1/Dog%20voice%20identification%20%28ID%29%20for%20detection%20system.pdf Yeo, Che Yong and Syed Mohamed, Syed Abdul Rahman Al-Haddad and Ng, Chee Kyun (2012) Dog voice identification (ID) for detection system. In: Second International Conference on Digital Information Processing and Communications (ICDIPC 2012), 10-12 July 2012, Klaipeda City, Lithuania. (pp. 120-123). 10.1109/ICDIPC.2012.6257264
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Voice recognition systems have become the important applications for speech recognition technology. In this paper, an animal identification (ID) detection system based on animal voice pattern recognition algorithm has been developed. The developed animal voice recognition system uses the zero-cross-rate (ZCR), Mel-Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW) joint algorithms as the tools for recognizing the voice of the particular animal. ZCR is used for the end point detection of input voice such that the silence voice can be removed. MFCC is used for the process of feature extraction where a more compact and less redundant of the representative voice can be obtained from the input voice. While the voice pattern classification will be done by using DTW algorithm. The DTW voice pattern classification module is playing a very important role as it is used to get the optimal path between the input voice and the reference voice in the database. The obtained results show that the developed recognition system can be worked as expected.
format Conference or Workshop Item
author Yeo, Che Yong
Syed Mohamed, Syed Abdul Rahman Al-Haddad
Ng, Chee Kyun
spellingShingle Yeo, Che Yong
Syed Mohamed, Syed Abdul Rahman Al-Haddad
Ng, Chee Kyun
Dog voice identification (ID) for detection system
author_facet Yeo, Che Yong
Syed Mohamed, Syed Abdul Rahman Al-Haddad
Ng, Chee Kyun
author_sort Yeo, Che Yong
title Dog voice identification (ID) for detection system
title_short Dog voice identification (ID) for detection system
title_full Dog voice identification (ID) for detection system
title_fullStr Dog voice identification (ID) for detection system
title_full_unstemmed Dog voice identification (ID) for detection system
title_sort dog voice identification (id) for detection system
publisher IEEE
publishDate 2012
url http://psasir.upm.edu.my/id/eprint/69338/1/Dog%20voice%20identification%20%28ID%29%20for%20detection%20system.pdf
http://psasir.upm.edu.my/id/eprint/69338/
_version_ 1643839463862829056
score 13.223943

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