Voice Activity Detection in Noisy Environments Based on Double-Combined Fourier Transform and Line Fitting
Joint Authors
Han, David K.
Ko, Hanseok
Park, Jinsoo
Kim, Wooil
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-06
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
A new voice activity detector for noisy environments is proposed.
In conventional algorithms, the endpoint of speech is found by applying an edge detection filter that finds the abrupt changing point in a feature domain.
However, since the frame energy feature is unstable in noisy environments, it is difficult to accurately find the endpoint of speech.
Therefore, a novel feature extraction algorithm based on the double-combined Fourier transform and envelope line fitting is proposed.
It is combined with an edge detection filter for effective detection of endpoints.
Effectiveness of the proposed algorithm is evaluated and compared to other VAD algorithms using two different databases, which are AURORA 2.0 database and SITEC database.
Experimental results show that the proposed algorithm performs well under a variety of noisy conditions.
American Psychological Association (APA)
Park, Jinsoo& Kim, Wooil& Han, David K.& Ko, Hanseok. 2014. Voice Activity Detection in Noisy Environments Based on Double-Combined Fourier Transform and Line Fitting. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1048466
Modern Language Association (MLA)
Park, Jinsoo…[et al.]. Voice Activity Detection in Noisy Environments Based on Double-Combined Fourier Transform and Line Fitting. The Scientific World Journal No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1048466
American Medical Association (AMA)
Park, Jinsoo& Kim, Wooil& Han, David K.& Ko, Hanseok. Voice Activity Detection in Noisy Environments Based on Double-Combined Fourier Transform and Line Fitting. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1048466
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048466