DocumentCode
3144542
Title
Audio codingwith power spectral density preserving quantization
Author
Li, Minyue ; Klejsa, Janusz ; Ozerov, Alexey ; Kleijn, W. Bastiaan
Author_Institution
Sch. of Electr. Eng., KTH R. Inst. of Technol., Stockholm, Sweden
fYear
2012
fDate
25-30 March 2012
Firstpage
413
Lastpage
416
Abstract
The coding of audio-visual signals is generally based on different paradigms for high and low rates. At high rates the signal is approximated directly and at low rates only signal features are transmitted. The recently introduced distribution preserving quantization (DPQ) paradigm provides a seamless transition between these two regimes. In this paper we present a simplified scheme that preserves the power spectral density (PSD) rather than the probability distribution. In a practical system the PSD must be estimated. We show that both forward adaptive and backward adaptive PSD estimation are possible. Our experimental results confirm that preservation of PSD at finite precision leads to a unified coding paradigm that provides effective coding at both high and low rates. An audio coding application shows the perceptual benefits of PSD preserving quantization.
Keywords
adaptive estimation; audio coding; audio-visual systems; quantisation (signal); DPQ paradigm; PSD preserving quantization; audio-visual signal coding; backward adaptive PSD estimation; distribution preserving quantization paradigm; forward adaptive PSD estimation; power spectral density preserving quantization; probability distribution; Adaptation models; Audio coding; Estimation; Lattices; Quantization; Speech; Quantization; audio coding; backward adaptation; forward adaptation; predictive coding;
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.2012.6287904
Filename
6287904
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