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

• Published in: Mathematical Problems in Engineering Vol. 2010; no. 1; pp. 1299 - 1310-075
• Main Authors: Li, Sheng, Wang, Jian Qi, Jing, Xi Jing
• Format: Journal Article
• Language: English
• 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
• ISSN: 1024-123X; 1563-5147
• DOI: 10.1155/2010/371782

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.