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 effici...Show MoreMetadata
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.
Published in: 2008 16th European Signal Processing Conference
Date of Conference: 25-29 August 2008
Date Added to IEEE Xplore: 06 April 2015
Print ISSN: 2219-5491
Conference Location: Lausanne, Switzerland