An information theoretic view on Artificial Bandwidth Extension in noisy environments

Author

Esch, Thomas ; Vary, Peter

Author_Institution

Inst. of Commun. Syst. & Data Process. (i~d), RWTH Aachen Univ., Aachen, Germany

fYear

2012

fDate

25-30 March 2012

Firstpage

4073

Lastpage

4076

Abstract

Artificial Bandwidth Extension (ABWE) exploits spectral dependencies of speech signals and aims at recovering missing high frequency components if only the narrowband speech signal is available. This contribution provides an information theoretic view on ABWE when used in noisy conditions. Based on the results of [1], a performance bound of ABWE is formulated if the narrowband signal is disturbed by additive noise. The performance bound is evaluated using real entropy measurements and the influence of noise suppression prior to ABWE is investigated.

Keywords

entropy; signal denoising; speech processing; ABWE; additive noise; artificial bandwidth extension; information theoretic view; narrowband speech signal; noise suppression; noisy environments; performance bound; real entropy measurements; spectral dependencies; Entropy; Mutual information; Narrowband; Noise measurement; Signal to noise ratio; Speech; Vectors; Artificial bandwidth extension; mutual information; noise reduction;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on

Conference_Location

Kyoto

ISSN

1520-6149

Print_ISBN

978-1-4673-0045-2

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2012.6288813

Filename

6288813