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Efficient spectrum estimation of noise using line spectral pairs for robust speech recognition

Author(s)
Jang, Gil-JinCho, H-Y
Issued Date
2011-12
DOI
10.1049/el.2011.2830
URI
https://scholarworks.unist.ac.kr/handle/201301/3210
Fulltext
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=82955219600
Citation
ELECTRONICS LETTERS, v.47, no.25, pp.1399 - 1400
Abstract
A novel method for estimating the power spectral density of acoustic background noise is proposed. The spectral peak frequencies are approximated by the roots of the P polynomial, which constitute half of the line spectral pairs. The probability distributions of the magnitude values at the spectral peaks are modelled by a mixture of two univariate Gaussian functions, where the Gaussian with smaller mean is considered as noise and the other as speech. The validity of the proposed method is exhibited by the experimental results evaluated on a simple speech recognition task.
Publisher
INST ENGINEERING TECHNOLOGY-IET
ISSN
0013-5194

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