Title
Entropy-constrained spike modulus quantization in a bio-inspired universal audio coder
Abstract
We propose an optimal quantizer for the moduli (spike amplitudes) of thematching pursuit on gammatone/gammachirp kernels that have been shown previously to be very efficient for audio coding. The quantizer optimization is performed by Genetic Algorithm (GA). We show that the optimal quantization values found by GA can be approximated by a “piecewise uniform” quantizer. The latter approximation is faster and has less overhead (i.e., there is no need for codebook transmission). Based on perceptual evaluation of audio quality, transparent quality is obtained for both the optimal and piecewise uniform quantization approaches. We also studied the performance of in-loop quantization vs. out-of-loop quantization when computational cost can be afforded.
Year
Venue
Keywords
2008
EUSIPCO
approximation theory,audio coding,entropy,genetic algorithms,quantisation (signal),audio quality,bio-inspired universal audio coder,entropy-constrained spike modulus quantization,gammachirp kernels,gammatone kernels,genetic algorithm,matching pursuit,optimal quantization values,optimal uniform quantization approach,piecewise uniform quantization approach,piecewise uniform quantizer,quantizer optimization,spike amplitudes,transparent quality
Field
DocType
ISSN
Mathematical optimization,Linde–Buzo–Gray algorithm,Algorithm,Coding (social sciences),Sound quality,Moduli,Quantization (signal processing),Genetic algorithm,Piecewise,Mathematics,Codebook
Conference
2219-5491
Citations 
PageRank 
References 
3
0.50
13
Authors
4
Name
Order
Citations
PageRank
Ramin Pichevar1569.92
Hossein Najaf-Zadeh2224.37
Hassan Lahdili3172.06
Louis Thibault4203.21