The Application of Nonlinear Spectral Subtraction Method on Millimeter Wave Conducted Speech Enhancement

A nonlinear multiband spectral subtraction method is investigated in this study to reduce the colored electronic noise in millimeter wave (MMW) radar conducted speech. Because the over-subtraction factor of each Bark frequency band can be adaptively adjusted, the nonuniform effects of colored noise...

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Published inMathematical Problems in Engineering Vol. 2010; no. 1; pp. 1299 - 1310-075
Main Authors Li, Sheng, Wang, Jian Qi, Jing, Xi Jing
Format Journal Article
LanguageEnglish
Published New York Hindawi Limiteds 01.01.2010
Hindawi Publishing Corporation
John Wiley & Sons, Inc
Subjects
Algorithms
Experiments
Frequencies
Frequency distribution
Human subjects
Larynx
Life sciences
Mathematical analysis
Methods
Millimeter waves
Noise
Noise reduction
Nonlinearity
Radar
Spectra
Spectrum allocation
Speech
Speech processing
Standard deviation
Studies
Subtraction
Online AccessGet full text
ISSN1024-123X
1563-5147
DOI10.1155/2010/371782

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Abstract A nonlinear multiband spectral subtraction method is investigated in this study to reduce the colored electronic noise in millimeter wave (MMW) radar conducted speech. Because the over-subtraction factor of each Bark frequency band can be adaptively adjusted, the nonuniform effects of colored noise in the spectrum of the MMW radar speech can be taken into account in the enhancement process. Both the results of the time-frequency distribution analysis and perceptual evaluation test suggest that a better whole-frequency noise reduction effect is obtained, and the perceptually annoying musical noise was efficiently reduced, with little distortion to speech information as compared to the other standard speech enhancement algorithm.
AbstractList A nonlinear multiband spectral subtraction method is investigated in this study to reduce the colored electronic noise in millimeter wave (MMW) radar conducted speech. Because the over-subtraction factor of each Bark frequency band can be adaptively adjusted, the nonuniform effects of colored noise in the spectrum of the MMW radar speech can be taken into account in the enhancement process. Both the results of the time-frequency distribution analysis and perceptual evaluation test suggest that a better whole-frequency noise reduction effect is obtained, and the perceptually annoying musical noise was efficiently reduced, with little distortion to speech information as compared to the other standard speech enhancement algorithm.
Author Sheng Li
Jian Qi Wang
Xi Jing Jing
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crossref_primary_10_4028_www_scientific_net_AMM_130_134_1327
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crossref_primary_10_3390_e18070265
Cites_doi 10.1002/mop.23588
10.1109/ICASSP.2002.5745591
10.1109/89.709670
10.1016/j.dsp.2007.08.002
10.1109/ICASSP.2002.1005795
10.1016/0167‐6393(92)90016‐Z
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10.1016/S0165‐1684(01)00128‐1
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10.1109/ICASSP.1979.1170788
10.1016/j.sigpro.2007.11.023
10.1109/ISSCS.2005.1509916
10.1155/2007/31415
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Copyright Copyright © 2010
Copyright © 2010 Sheng Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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SubjectTerms Algorithms
Experiments
Frequencies
Frequency distribution
Human subjects
Larynx
Life sciences
Mathematical analysis
Methods
Millimeter waves
Noise
Noise reduction
Nonlinearity
Radar
Spectra
Spectrum allocation
Speech
Speech processing
Standard deviation
Studies
Subtraction
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Title The Application of Nonlinear Spectral Subtraction Method on Millimeter Wave Conducted Speech Enhancement
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