DocumentCode
2932674
Title
Subband audio coding with synthesis filters minimizing a perceptual distortion
Author
Gosse, K. ; Moreau de Saint-Martin, F. ; Durot, X. ; Duhamel, P. ; Rault, J.B.
Author_Institution
Dept. Signal, ENST, Paris, France
Volume
1
fYear
1997
fDate
21-24 Apr 1997
Firstpage
347
Abstract
The design of filter banks for source coding purposes classically relies on the perfect reconstruction (PR) property. However, several studies have shown that taking the quantization noise into account in the design could yield a noticeable reduction of the mean square reconstruction error. The purpose of this study is to show that perceptual improvement can also be obtained in the particular audio coding context by relaxing the PR constraint. In this context, the mean square error is not relevant any more, and we define a new perceptual distortion criterion, making use of a simplified ear model, the MPE (mean perceptual error). Then, synthesis filters are optimized so as to minimize this MPE. Finally, this MMPE (minimum MPE) filter bank is included in an audio coding scheme. Compared to the corresponding PR filter bank-based scheme by the means of POM (perceptual objective measure), they show an improved audio quality
Keywords
audio coding; digital filters; electric distortion; error analysis; hearing; minimisation; signal reconstruction; source coding; MMPE; MPE; POM; PR constraint; PR filter bank-based scheme; audio quality; design; filter banks; mean perceptual error; mean square reconstruction error; minimum MPE; perceptual distortion; perceptual objective measure; perfect reconstruction; quantization noise; simplified ear model; source coding; subband audio coding; synthesis filters; Audio coding; Audio compression; Auditory system; Distortion measurement; Ear; Filter bank; Mean square error methods; Quantization; Signal synthesis; Wiener filter;
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.1997.599644
Filename
599644
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