Noise robustness of Spectrum Delta (SpD) features in Malay vowel recognition
In Malaysia, there is increasing number of speech recognition researchers focusing on developing independent speaker speech recognition systems that uses Malay Language which are noise robust and accurate.The performance of speech recognition application under adverse noisy condition often becomes t...
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| Format: | Article |
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Springer
2012
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| _version_ | 1803626003608633344 |
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| author | Mohd Yusof, Shahrul Azmi Mahat, Nor Idayu Din, Roshidi Yaakub, Abdul Razak Yaacob, Sazali |
| author_facet | Mohd Yusof, Shahrul Azmi Mahat, Nor Idayu Din, Roshidi Yaakub, Abdul Razak Yaacob, Sazali |
| author_sort | Mohd Yusof, Shahrul Azmi |
| collection | UUM |
| description | In Malaysia, there is increasing number of speech recognition researchers focusing on developing independent speaker speech recognition systems that uses Malay Language which are noise robust and accurate.The performance of speech recognition application under adverse noisy condition often becomes the topic of interest among speech recognition researchers regardless of the languages in use. This paper present a study of noise robust capability of an improved vowel feature extraction method called Spectrum Delta (SpD).The features are extracted from both original data and noise-added data and classified using three classifiers; (i) Multinomial Logistic Regression (MLR), (ii) K-Nearest Neighbors (k-NN) and (iii) Linear Discriminant Analysis (LDA).Results show that the proposed SpD is robust towards noise and LDA performs the best in overall vowel classification compared to MLR and k-NN in terms of robustness capability especially with signal-to-noise (SNR) above 20dB. |
| first_indexed | 2024-07-04T05:43:16Z |
| format | Article |
| id | uum-10141 |
| institution | Universiti Utara Malaysia |
| last_indexed | 2024-07-04T05:43:16Z |
| publishDate | 2012 |
| publisher | Springer |
| record_format | dspace |
| spelling | uum-101412014-04-15T08:04:13Z https://repo.uum.edu.my/id/eprint/10141/ Noise robustness of Spectrum Delta (SpD) features in Malay vowel recognition Mohd Yusof, Shahrul Azmi Mahat, Nor Idayu Din, Roshidi Yaakub, Abdul Razak Yaacob, Sazali QA76 Computer software In Malaysia, there is increasing number of speech recognition researchers focusing on developing independent speaker speech recognition systems that uses Malay Language which are noise robust and accurate.The performance of speech recognition application under adverse noisy condition often becomes the topic of interest among speech recognition researchers regardless of the languages in use. This paper present a study of noise robust capability of an improved vowel feature extraction method called Spectrum Delta (SpD).The features are extracted from both original data and noise-added data and classified using three classifiers; (i) Multinomial Logistic Regression (MLR), (ii) K-Nearest Neighbors (k-NN) and (iii) Linear Discriminant Analysis (LDA).Results show that the proposed SpD is robust towards noise and LDA performs the best in overall vowel classification compared to MLR and k-NN in terms of robustness capability especially with signal-to-noise (SNR) above 20dB. Springer 2012 Article PeerReviewed Mohd Yusof, Shahrul Azmi and Mahat, Nor Idayu and Din, Roshidi and Yaakub, Abdul Razak and Yaacob, Sazali (2012) Noise robustness of Spectrum Delta (SpD) features in Malay vowel recognition. Computer Applications for Communication, Networking, and Digital Contents, 350. pp. 270-277. ISSN 1865-0929 http://dx.doi.org/10.1007/978-3-642-35594-3_38 doi:10.1007/978-3-642-35594-3_38 doi:10.1007/978-3-642-35594-3_38 |
| spellingShingle | QA76 Computer software Mohd Yusof, Shahrul Azmi Mahat, Nor Idayu Din, Roshidi Yaakub, Abdul Razak Yaacob, Sazali Noise robustness of Spectrum Delta (SpD) features in Malay vowel recognition |
| title | Noise robustness of Spectrum Delta (SpD) features in Malay vowel recognition |
| title_full | Noise robustness of Spectrum Delta (SpD) features in Malay vowel recognition |
| title_fullStr | Noise robustness of Spectrum Delta (SpD) features in Malay vowel recognition |
| title_full_unstemmed | Noise robustness of Spectrum Delta (SpD) features in Malay vowel recognition |
| title_short | Noise robustness of Spectrum Delta (SpD) features in Malay vowel recognition |
| title_sort | noise robustness of spectrum delta spd features in malay vowel recognition |
| topic | QA76 Computer software |
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