A Hierarchical Framework Approach for Voice Activity Detection and Speech Enhancement
Accurate and effective voice activity detection (VAD) is a fundamental step for robust speech or speaker recognition. In this study, we proposed a hierarchical framework approach for VAD and speech enhancement. The modified Wiener filter (MWF) approach is utilized for noise reduction in the speech e...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/723643 |
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| _version_ | 1832562621569564672 |
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| author | Yan Zhang Zhen-min Tang Yan-ping Li Yang Luo |
| author_facet | Yan Zhang Zhen-min Tang Yan-ping Li Yang Luo |
| author_sort | Yan Zhang |
| collection | DOAJ |
| description | Accurate and effective voice activity detection (VAD) is a fundamental step for robust speech or speaker recognition. In this study, we proposed a hierarchical framework approach for VAD and speech enhancement. The modified Wiener filter (MWF) approach is utilized for noise reduction in the speech enhancement block. For the feature selection and voting block, several discriminating features were employed in a voting paradigm for the consideration of reliability and discriminative power. Effectiveness of the proposed approach is compared and evaluated to other VAD techniques by using two well-known databases, namely, TIMIT database and NOISEX-92 database. Experimental results show that the proposed method performs well under a variety of noisy conditions. |
| format | Article |
| id | doaj-art-94102a58d18542b5afa0528d64a8fb2f |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-94102a58d18542b5afa0528d64a8fb2f2025-02-03T01:22:14ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/723643723643A Hierarchical Framework Approach for Voice Activity Detection and Speech EnhancementYan Zhang0Zhen-min Tang1Yan-ping Li2Yang Luo3College of Computer Science and Technology, Nanjing University of Science and Technology (NUST), Nanjing 210094, ChinaCollege of Computer Science and Technology, Nanjing University of Science and Technology (NUST), Nanjing 210094, ChinaCollege of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications (NUPT), Nanjing 210046, ChinaCollege of Information Technology, Jinling Institute of Technology (JIT), Nanjing 211169, ChinaAccurate and effective voice activity detection (VAD) is a fundamental step for robust speech or speaker recognition. In this study, we proposed a hierarchical framework approach for VAD and speech enhancement. The modified Wiener filter (MWF) approach is utilized for noise reduction in the speech enhancement block. For the feature selection and voting block, several discriminating features were employed in a voting paradigm for the consideration of reliability and discriminative power. Effectiveness of the proposed approach is compared and evaluated to other VAD techniques by using two well-known databases, namely, TIMIT database and NOISEX-92 database. Experimental results show that the proposed method performs well under a variety of noisy conditions.http://dx.doi.org/10.1155/2014/723643 |
| spellingShingle | Yan Zhang Zhen-min Tang Yan-ping Li Yang Luo A Hierarchical Framework Approach for Voice Activity Detection and Speech Enhancement The Scientific World Journal |
| title | A Hierarchical Framework Approach for Voice Activity Detection and Speech Enhancement |
| title_full | A Hierarchical Framework Approach for Voice Activity Detection and Speech Enhancement |
| title_fullStr | A Hierarchical Framework Approach for Voice Activity Detection and Speech Enhancement |
| title_full_unstemmed | A Hierarchical Framework Approach for Voice Activity Detection and Speech Enhancement |
| title_short | A Hierarchical Framework Approach for Voice Activity Detection and Speech Enhancement |
| title_sort | hierarchical framework approach for voice activity detection and speech enhancement |
| url | http://dx.doi.org/10.1155/2014/723643 |
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