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Author

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

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Noise Spectrum Estimation Using Line Spectral Frequencies for Robust Speech Recognition

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Title
Noise Spectrum Estimation Using Line Spectral Frequencies for Robust Speech Recognition
Author
Jang, Gil-JinPark, Jeong-SikKim, Sang-Hun
Keywords
Line spectral frequencies (LSF); Noise suppression; Speech recognition
Issue Date
201204
Publisher
한국음향학회
Citation
한국음향학회지 , v.31, no.3, pp.179 - 187
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.
URI
http://scholarworks.unist.ac.kr/handle/201301/3807
ISSN
1225-4428
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