DocumentCode
1451982
Title
Robust Parametric Audio Coding Using Multiple Description Coding
Author
Jensen, Jesper Rindom ; Christensen, Mads Græsbøll ; Jensen, Morten Holm ; Jensen, Søren Holdt ; Larsen, Torben
Author_Institution
Dept. of Electron. Syst., Aalborg Univ., Aalborg, Denmark
Volume
16
Issue
12
fYear
2009
Firstpage
1083
Lastpage
1086
Abstract
We propose a new multiple description spherical quantization with repetitively coded amplitudes (MDSQRA) scheme suited for quantization of sinusoidal parameters. The quantization scheme is constituted by a set of spherical quantizers inspired by the multiple description spherical trellis-coded quantization (MDSTCQ) scheme. In this scheme, we apply repetitive coding on the amplitudes, while multiple description coding are applied on the phases and frequencies. Thereby, MDSQRA becomes directly implementable, as opposed to MDSTCQ, since the phase and frequency quantizers depend on the amplitudes which have dissimilar descriptions in MDSTCQ. Furthermore, we implement MDSQRA into a perceptual matching pursuit based sinusoidal audio coder. Finally, we evaluate MDSQRA through perceptual distortion measurements and MUSHRA listening tests. The tests show that MDSQRA outperforms MDSTCQ with respect to a expected perceptual distortion measure. The same results are obtained through the MUSHRA tests performed on sound clips coded using MDSQRA and MDSTCQ.
Keywords
audio coding; quantisation (signal); trellis codes; frequency quantizer; matching pursuit; multiple description coding; multiple description spherical trellis-coded quantization scheme; phase quantizer; repetitive coding; repetitively coded amplitude; robust parametric audio coding; sinusoidal audio coder; sinusoidal parameter; spherical quantization; Audio coding; Bit rate; Councils; Distortion measurement; Frequency; Masking threshold; Quantization; Robustness; Testing; Transform coding; Multiple description coding; perceptual audio coding; pre- and post-filtering; sinusoidal parametric coding; spherical quantization;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2009.2030852
Filename
5257434
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