BROWSE

Related Researcher

Author

Jang, Gil-Jin
Machine Intelligence Lab
Research Interests
  • Acoustic signal processing

ITEM VIEW & DOWNLOAD

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

Cited 3 times inthomson ciCited 4 times inthomson ci
Title
Efficient spectrum estimation of noise using line spectral pairs for robust speech recognition
Author
Jang, Gil-JinCho, H-Y
Keywords
Background noise; Gaussian functions; Gaussians; Line spectral pairs; Robust speech recognition; Spectral peak; Spectral peak frequency; Spectrum estimation; Univariate
Issue Date
201112
Publisher
INST ENGINEERING TECHNOLOGY-IET
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.
URI
Go to Link
DOI
http://dx.doi.org/10.1049/el.2011.2830
ISSN
0013-5194
Appears in Collections:
ECE_Journal Papers

find_unist can give you direct access to the published full text of this article. (UNISTARs only)

Show full item record

qr_code

  • mendeley

    citeulike

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

MENU