A Multiscale Chaotic Feature Extraction Method for Speaker Recognition
In speaker recognition systems, feature extraction is a challenging task under environment noise conditions. To improve the robustness of the feature, we proposed a multiscale chaotic feature for speaker recognition. We use a multiresolution analysis technique to capture more finer information on di...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/8810901 |
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| _version_ | 1849404592589111296 |
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| author | Jiang Lin Yi Yumei Zhang Maosheng Chen Defeng Wang Chao Wang Tonghan |
| author_facet | Jiang Lin Yi Yumei Zhang Maosheng Chen Defeng Wang Chao Wang Tonghan |
| author_sort | Jiang Lin |
| collection | DOAJ |
| description | In speaker recognition systems, feature extraction is a challenging task under environment noise conditions. To improve the robustness of the feature, we proposed a multiscale chaotic feature for speaker recognition. We use a multiresolution analysis technique to capture more finer information on different speakers in the frequency domain. Then, we extracted the speech chaotic characteristics based on the nonlinear dynamic model, which helps to improve the discrimination of features. Finally, we use a GMM-UBM model to develop a speaker recognition system. Our experimental results verified its good performance. Under clean speech and noise speech conditions, the ERR value of our method is reduced by 13.94% and 26.5% compared with the state-of-the-art method, respectively. |
| format | Article |
| id | doaj-art-9b340deb0a7f4a2f851f7cb221b37b10 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-9b340deb0a7f4a2f851f7cb221b37b102025-08-20T03:36:57ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/88109018810901A Multiscale Chaotic Feature Extraction Method for Speaker RecognitionJiang Lin0Yi Yumei1Zhang Maosheng2Chen Defeng3Wang Chao4Wang Tonghan5College of Computer and Information Engineering, Institute of Big Data and Internet Innovation, Hunan University of Technology and Business, Changsha 410205, ChinaCollege of Computer and Information Engineering, Institute of Big Data and Internet Innovation, Hunan University of Technology and Business, Changsha 410205, ChinaSchool of Mathematics and Statistics, Yulin Normal University, Yulin 537000, ChinaCollege of Computer and Information Engineering, Institute of Big Data and Internet Innovation, Hunan University of Technology and Business, Changsha 410205, ChinaNational Engineering Research Center for Multimedia Software, Wuhan University, Wuhan 430072, ChinaSchool of Software, East China University of Technology, Nanchang 330013, ChinaIn speaker recognition systems, feature extraction is a challenging task under environment noise conditions. To improve the robustness of the feature, we proposed a multiscale chaotic feature for speaker recognition. We use a multiresolution analysis technique to capture more finer information on different speakers in the frequency domain. Then, we extracted the speech chaotic characteristics based on the nonlinear dynamic model, which helps to improve the discrimination of features. Finally, we use a GMM-UBM model to develop a speaker recognition system. Our experimental results verified its good performance. Under clean speech and noise speech conditions, the ERR value of our method is reduced by 13.94% and 26.5% compared with the state-of-the-art method, respectively.http://dx.doi.org/10.1155/2020/8810901 |
| spellingShingle | Jiang Lin Yi Yumei Zhang Maosheng Chen Defeng Wang Chao Wang Tonghan A Multiscale Chaotic Feature Extraction Method for Speaker Recognition Complexity |
| title | A Multiscale Chaotic Feature Extraction Method for Speaker Recognition |
| title_full | A Multiscale Chaotic Feature Extraction Method for Speaker Recognition |
| title_fullStr | A Multiscale Chaotic Feature Extraction Method for Speaker Recognition |
| title_full_unstemmed | A Multiscale Chaotic Feature Extraction Method for Speaker Recognition |
| title_short | A Multiscale Chaotic Feature Extraction Method for Speaker Recognition |
| title_sort | multiscale chaotic feature extraction method for speaker recognition |
| url | http://dx.doi.org/10.1155/2020/8810901 |
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