Integrated speech enhancement and coding in the time-frequency domain

Author

Drygajlo, Andrzej ; Carnero, Benito

Author_Institution

Signal Process. Lab., Swiss Fed. Inst. of Technol., Lausanne, Switzerland

Volume

2

fYear

1997

fDate

21-24 Apr 1997

Firstpage

1183

Abstract

This paper addresses the problem of merging speech enhancement and coding in the context of an auditory modeling. The noisy signal is first processed by a fast wavelet packet transform algorithm to obtain an auditory spectrum, from which a rough masking model is estimated. Then, this model is used to refine a subtractive-type enhancement algorithm. The enhanced speech coefficients are then encoded in the same time-frequency transform domain using masking threshold constraints for quantization noise. The advantage of the proposed method is that both enhancement and coding are performed with the transform coefficients, without making use of the additional FFT processing

Keywords

hearing; spectral analysis; speech coding; speech enhancement; speech intelligibility; speech processing; time-frequency analysis; transform coding; wavelet transforms; auditory modeling; auditory spectrum; enhanced speech coefficients; fast wavelet packet transform algorithm; masking threshold constraints; noisy signal; quantization noise; rough masking model; speech coding; speech enhancement; subtractive-type enhancement algorithm; time-frequency domain; transform coefficients; Context modeling; Masking threshold; Merging; Quantization; Signal processing; Speech coding; Speech enhancement; Time frequency analysis; Wavelet packets; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on

Conference_Location

Munich

ISSN

1520-6149

Print_ISBN

0-8186-7919-0

Type

conf

DOI

10.1109/ICASSP.1997.596154

Filename

596154