DocumentCode :
1628139
Title :
Speech enhancement based on nonlinear spectral subtraction
Author :
Poruba, Jiri
Author_Institution :
Fac. of Electr. Eng. & Comput. Sci., Brno Univ. of Technol., Czech Republic
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Abstract :
The spectral subtraction method is the most suitable technique for the elimination of stationary noise from degraded speech signal. In this article the basic principles of nonlinear spectral subtraction are described, which optimise the subtractive factor in dependence on input-degraded speech signal. In this way the undesirable musical noise remainder can be suppressed, which rises after a spectral subtraction. The obtained results are computed with the standard spectral subtraction method.
Keywords :
speech enhancement; musical noise remainder; noise reduction; nonlinear spectral subtraction; single channel; speech enhancement; stationary noise; Acoustic noise; Acoustic signal detection; Cellular phones; Computer science; Degradation; Frequency estimation; Noise level; Signal to noise ratio; Speech enhancement; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Devices, Circuits and Systems, 2002. Proceedings of the Fourth IEEE International Caracas Conference on
Print_ISBN :
0-7803-7380-4
Type :
conf
DOI :
10.1109/ICCDCS.2002.1004114
Filename :
1004114
Link To Document :
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