Single-sensor speech enhancement using a soft-decision/variable attenuation algorithm

Author

George, E. Bryan

Author_Institution

Signal Process. Center of Technol., Lockheed Sanders Inc., Nashua, NH, USA

Volume

1

fYear

1995

fDate

9-12 May 1995

Firstpage

816

Abstract

This paper presents an algorithm for single-sensor enhancment of speech corrupted by additive random noise, based on soft-decision and statistical signal processing concepts and incorporating fully automatic noise estimation/tracking algorithms. The soft-decision/variable attenuation (SDVA) algorithm uses a compressive noise reduction model within the framework of short-time Fourier processing. The SDVA algorithm is fast, effective and robust, and has been applied in realistic RF and telephone environments

Keywords

Fourier series; acoustic noise; random noise; spectral analysis; speech enhancement; tracking; RF environments; additive random noise; compressive noise reduction model; fully automatic noise estimation; short-time Fourier processing; single-sensor speech enhancement; soft-decision variable attenuation algorithm; statistical signal processing; telephone environments; tracking algorithms; Additive noise; Attenuation; Noise reduction; Noise robustness; Radio frequency; Signal processing algorithms; Speech enhancement; Speech processing; Telephony; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.479819

Filename

479819