Title
Wide-Band Perceptual Audio Coding Based on Frequency-Domain Linear Prediction
Abstract
In this paper we propose an extension of the very low bit-rate speech coding technique, exploiting predictability of the tempor al evolu- tion of spectral envelopes, for wide-band audio coding applications. Temporal envelopes in critically band-sized sub-bands are estimated using frequency domain linear prediction applied on relatively long time segments. The sub-band residual signals, which play an im- portant role in acquiring high quality reconstruction, are processed using a heterodyning-based signal analysis technique. For recon- struction, their optimal parameters are estimated using a c losed-loop analysis-by-synthesis technique driven by a perceptual model emu- lating simultaneous masking properties of the human auditory sys- tem. We discuss the advantages of the approach and show some properties on challenging audio recordings. The proposed technique is capable of encoding high quality, variable rate audio sig nals on bit-rates below 1bit/sample.
Year
DOI
Venue
2007
10.1109/ICASSP.2007.366667
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference
Keywords
Field
DocType
audio coding,audio recording,closed loop systems,frequency-domain analysis,speech coding,closed-loop analysis-by-synthesis technique,frequency-domain linear prediction,heterodyning-based signal analysis technique,human auditory system,perceptual model emulation,speech coding technique,subband residual signals,variable rate audio signals,wideband perceptual audio coding,Audio signal processing,Hilbert transform,data compression,linear predictive coding
Frequency domain,Signal processing,Audio signal,Speech coding,Pattern recognition,Computer science,Speech recognition,Artificial intelligence,Sub-band coding,Audio signal processing,Data compression,Linear predictive coding
Conference
Volume
ISSN
ISBN
1
1520-6149
1-4244-0727-3
Citations 
PageRank 
References 
2
0.41
4
Authors
3
Name
Order
Citations
PageRank
Petr Motlíček1133.36
Vijay Ullal220.41
Hynek Hermansky33298510.27