Constrained iterative speech enhancement with application to automatic speech recognition

Author

Hansen, John H L ; Clements, Mark A.

Author_Institution

Sch. of Elecr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA

fYear

1988

fDate

11-14 Apr 1988

Firstpage

561

Abstract

A set of iterative speech enhancement techniques using spectral constraints is extended and evaluated. The approaches apply inter- and intraframe spectral constraints to ensure optimum speech quality across all classes of speech. Constraints are applied on the basis of the presence of perceptually important speech characteristics found during the enhancement procedure. Results show improvement over past techniques for additive white noise distortions. Three points are addressed in the present study. First, a convenient and consistent terminating point for the iterative technique is presented which was previously unavailable. Second, the techniques have been generalized to allow for slowly varying, colored noise. Finally, a comparative evaluation has been performed to determine their usefulness as preprocessors for recognition in extremely noisy environments in the vicinity of 0 dB SNR

Keywords

iterative methods; speech analysis and processing; speech recognition; white noise; SNR; additive white noise distortions; automatic speech recognition; colored noise; constrained iterative speech enhancement; noisy environments; slowly varying noise; spectral constraints; speech analysis; speech processing; speech quality; Acoustic noise; Additive noise; Automatic speech recognition; Colored noise; Density functional theory; Iterative algorithms; Speech analysis; Speech enhancement; Speech processing; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on

Conference_Location

New York, NY

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1988.196645

Filename

196645