Noise Spectrum Estimation Using Line Spectral Frequencies for Robust Speech Recognition

Gil-Jin Jang; Jeong-Sik Park; Sanghun Kim

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2012 Vol.31, Issue 3 Preview Page Next Page

Noise Spectrum Estimation Using Line Spectral Frequencies for Robust Speech Recognition

30 April 2012. pp. 179-187

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Abstract

This paper presents a novel method for estimating reliable noise spectral magnitude for acoustic background noise suppression where only a single microphone recording is available. The proposed method finds noise estimates from spectral magnitudes measured at line spectral frequencies (LSFs), under the observation that adjacent LSFs are near the peak frequencies and isolated LSFs are close to the relatively flattened valleys of LPC spectra. The parameters used in the proposed method are LPC coefficients, their corresponding LSFs, and the gain of LPC residual signals, so it suits well to LPC-based speech coders.

Keywords

Line spectral frequencies (LSF)

Noise suppression

Speech recognition

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Information

Publisher :The Acoustical Society of Korea
Publisher(Ko) :한국음향학회
Journal Title :The Journal of the Acoustical Society of Korea
Journal Title(Ko) :한국음향학회지
Volume : 31
No :3
Pages :179-187
Received Date : 2011-05-20
Revised Date : 2012-02-14
Accepted Date : 2012-02-14

The Journal of the Acoustical Society of KoreaISSN:1225-4428(Print) 2287-3775(Online)한국음향학회

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