Title :
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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6288813
