Animal voice recognition for identification (ID) 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-...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2011
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| Online Access: | http://psasir.upm.edu.my/id/eprint/47698/1/Animal%20voice%20recognition%20for%20identification%20%28ID%29%20detection%20system.pdf |
| _version_ | 1825929855145869312 |
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| author | Yeo, Che Yong Syed Mohamed, Syed Abdul Rahman Al-Haddad Ng, Chee Kyun |
| author_facet | Yeo, Che Yong Syed Mohamed, Syed Abdul Rahman Al-Haddad Ng, Chee Kyun |
| author_sort | Yeo, Che Yong |
| collection | UPM |
| 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. |
| first_indexed | 2024-03-06T09:02:51Z |
| format | Conference or Workshop Item |
| id | upm.eprints-47698 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:02:51Z |
| publishDate | 2011 |
| publisher | IEEE |
| record_format | dspace |
| spelling | upm.eprints-476982016-07-14T04:50:55Z http://psasir.upm.edu.my/id/eprint/47698/ Animal voice recognition for identification (ID) 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 2011 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/47698/1/Animal%20voice%20recognition%20for%20identification%20%28ID%29%20detection%20system.pdf Yeo, Che Yong and Syed Mohamed, Syed Abdul Rahman Al-Haddad and Ng, Chee Kyun (2011) Animal voice recognition for identification (ID) detection system. In: 2011 IEEE 7th International Colloquium on Signal Processing and its Applications (CSPA 2011), 4-6 Mar. 2011, Penang, Malaysia. (pp. 198-201). 10.1109/CSPA.2011.5759872 |
| spellingShingle | Yeo, Che Yong Syed Mohamed, Syed Abdul Rahman Al-Haddad Ng, Chee Kyun Animal voice recognition for identification (ID) detection system |
| title | Animal voice recognition for identification (ID) detection system |
| title_full | Animal voice recognition for identification (ID) detection system |
| title_fullStr | Animal voice recognition for identification (ID) detection system |
| title_full_unstemmed | Animal voice recognition for identification (ID) detection system |
| title_short | Animal voice recognition for identification (ID) detection system |
| title_sort | animal voice recognition for identification id detection system |
| url | http://psasir.upm.edu.my/id/eprint/47698/1/Animal%20voice%20recognition%20for%20identification%20%28ID%29%20detection%20system.pdf |
| work_keys_str_mv | AT yeocheyong animalvoicerecognitionforidentificationiddetectionsystem AT syedmohamedsyedabdulrahmanalhaddad animalvoicerecognitionforidentificationiddetectionsystem AT ngcheekyun animalvoicerecognitionforidentificationiddetectionsystem |