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

Joint Authors

Wang, Jian Qi
Li, Sheng
Jing, Xi Jing

Source

Mathematical Problems in Engineering

Issue

Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2010-05-12

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Civil Engineering

Abstract EN

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.

American Psychological Association (APA)

Li, Sheng& Wang, Jian Qi& Jing, Xi Jing. 2010. The Application of Nonlinear Spectral Subtraction Method on Millimeter Wave Conducted Speech Enhancement. Mathematical Problems in Engineering،Vol. 2010, no. 2010, pp.1-12.
https://search.emarefa.net/detail/BIM-466790

Modern Language Association (MLA)

Li, Sheng…[et al.]. The Application of Nonlinear Spectral Subtraction Method on Millimeter Wave Conducted Speech Enhancement. Mathematical Problems in Engineering No. 2010 (2010), pp.1-12.
https://search.emarefa.net/detail/BIM-466790

American Medical Association (AMA)

Li, Sheng& Wang, Jian Qi& Jing, Xi Jing. The Application of Nonlinear Spectral Subtraction Method on Millimeter Wave Conducted Speech Enhancement. Mathematical Problems in Engineering. 2010. Vol. 2010, no. 2010, pp.1-12.
https://search.emarefa.net/detail/BIM-466790

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-466790