Robust speech recognition using fusion techniques and adaptive filtering
The study proposes an algorithm for noise cancellation by using recursive least square (RLS) and pattern recognition by using fusion method of Dynamic Time Warping (DTW) and Hidden Markov Model (HMM). Speech signals are often corrupted with background noise and the changes in signal characteristics...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Science Publications
2009
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| Online Access: | http://psasir.upm.edu.my/id/eprint/17737/1/ajassp.2009.290.295.pdf |
| _version_ | 1796969324363120640 |
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| author | Syed Mohamed, Syed Abdul Rahman Al-Haddad Abdul Samad, Salina Hussain, Aini Ishak, Khairul Anuar Noor, Ali O. Abid |
| author_facet | Syed Mohamed, Syed Abdul Rahman Al-Haddad Abdul Samad, Salina Hussain, Aini Ishak, Khairul Anuar Noor, Ali O. Abid |
| author_sort | Syed Mohamed, Syed Abdul Rahman Al-Haddad |
| collection | UPM |
| description | The study proposes an algorithm for noise cancellation by using recursive least square (RLS) and pattern recognition by using fusion method of Dynamic Time Warping (DTW) and Hidden Markov Model (HMM). Speech signals are often corrupted with background noise and the changes in signal characteristics could be fast. These issues are especially important for robust speech recognition. Robustness is a key issue in speech recognition. The algorithm is tested on speech samples that are a part of a Malay corpus. It is shown that the fusion technique can be used to fuse the pattern recognition outputs of DTW and HMM. Furthermore refinement normalization was introduced by using weight mean vector to obtain better performance. Accuracy of 94% on pattern recognition was obtainable using fusion HMM and DTW compared to 80.5% using DTW and 90.7% using HMM separately. The accuracy of the proposed algorithm is increased further to 98% by utilization the RLS adaptive noise cancellation. |
| first_indexed | 2024-03-06T07:41:19Z |
| format | Article |
| id | upm.eprints-17737 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T07:41:19Z |
| publishDate | 2009 |
| publisher | Science Publications |
| record_format | dspace |
| spelling | upm.eprints-177372017-11-30T08:10:11Z http://psasir.upm.edu.my/id/eprint/17737/ Robust speech recognition using fusion techniques and adaptive filtering Syed Mohamed, Syed Abdul Rahman Al-Haddad Abdul Samad, Salina Hussain, Aini Ishak, Khairul Anuar Noor, Ali O. Abid The study proposes an algorithm for noise cancellation by using recursive least square (RLS) and pattern recognition by using fusion method of Dynamic Time Warping (DTW) and Hidden Markov Model (HMM). Speech signals are often corrupted with background noise and the changes in signal characteristics could be fast. These issues are especially important for robust speech recognition. Robustness is a key issue in speech recognition. The algorithm is tested on speech samples that are a part of a Malay corpus. It is shown that the fusion technique can be used to fuse the pattern recognition outputs of DTW and HMM. Furthermore refinement normalization was introduced by using weight mean vector to obtain better performance. Accuracy of 94% on pattern recognition was obtainable using fusion HMM and DTW compared to 80.5% using DTW and 90.7% using HMM separately. The accuracy of the proposed algorithm is increased further to 98% by utilization the RLS adaptive noise cancellation. Science Publications 2009 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/17737/1/ajassp.2009.290.295.pdf Syed Mohamed, Syed Abdul Rahman Al-Haddad and Abdul Samad, Salina and Hussain, Aini and Ishak, Khairul Anuar and Noor, Ali O. Abid (2009) Robust speech recognition using fusion techniques and adaptive filtering. American Journal of Applied Sciences, 6 (2). pp. 290-295. ISSN 1546-9239; ESSN: 1554-3641 http://thescipub.com/abstract/10.3844/ajassp.2009.290.295 10.3844/ajassp.2009.290.295 |
| spellingShingle | Syed Mohamed, Syed Abdul Rahman Al-Haddad Abdul Samad, Salina Hussain, Aini Ishak, Khairul Anuar Noor, Ali O. Abid Robust speech recognition using fusion techniques and adaptive filtering |
| title | Robust speech recognition using fusion techniques and adaptive filtering |
| title_full | Robust speech recognition using fusion techniques and adaptive filtering |
| title_fullStr | Robust speech recognition using fusion techniques and adaptive filtering |
| title_full_unstemmed | Robust speech recognition using fusion techniques and adaptive filtering |
| title_short | Robust speech recognition using fusion techniques and adaptive filtering |
| title_sort | robust speech recognition using fusion techniques and adaptive filtering |
| url | http://psasir.upm.edu.my/id/eprint/17737/1/ajassp.2009.290.295.pdf |
| work_keys_str_mv | AT syedmohamedsyedabdulrahmanalhaddad robustspeechrecognitionusingfusiontechniquesandadaptivefiltering AT abdulsamadsalina robustspeechrecognitionusingfusiontechniquesandadaptivefiltering AT hussainaini robustspeechrecognitionusingfusiontechniquesandadaptivefiltering AT ishakkhairulanuar robustspeechrecognitionusingfusiontechniquesandadaptivefiltering AT nooralioabid robustspeechrecognitionusingfusiontechniquesandadaptivefiltering |