A Hierarchical Framework Approach for Voice Activity Detection and Speech Enhancement
Joint Authors
Zhang, Yan
Tang, Zhen-min
Li, Yan-ping
Luo, Yang
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Zhang, Yan& Tang, Zhen-min& Li, Yan-ping& Luo, Yang. 2014. A Hierarchical Framework Approach for Voice Activity Detection and Speech Enhancement. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1050774
Modern Language Association (MLA)
Zhang, Yan…[et al.]. A Hierarchical Framework Approach for Voice Activity Detection and Speech Enhancement. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1050774
American Medical Association (AMA)
Zhang, Yan& Tang, Zhen-min& Li, Yan-ping& Luo, Yang. A Hierarchical Framework Approach for Voice Activity Detection and Speech Enhancement. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1050774
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050774