Quantization with Constrained Relative Entropy and Its Application to Audio Coding
2009 (English)In: 127th Audio Engineering Society Convention 2009, 2009, 401-408 p.Conference paper (Refereed)
Conventional quantization distorts the probability density of the source. In scenarios such as low bit rate audio coding, this leads to perceived distortion that is not well characterized by commonly used distortion criteria. We propose the relative entropy between the probability densities of the original and reconstructed signals as an additional fidelity measure. Quantization with a constraint on relative entropy ensures that the probability density of the signal is preserved to a controllable extent. When it is included in an audio coder, the new quantization facilitates a continuous transition between the underlying concepts of the vocoder, the bandwidth extension, and a rate-distortion optimized coder. Experiments confirm the effectiveness of the new quantization scheme.
Place, publisher, year, edition, pages
2009. 401-408 p.
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-38538ScopusID: 2-s2.0-84866034529ISBN: 978-161567712-2OAI: oai:DiVA.org:kth-38538DiVA: diva2:437196
127th Audio Engineering Society Convention 2009; New York, NY; United States; 9 October 2009 through 12 October 2009
QC 201108292011-08-292011-08-262014-09-23Bibliographically approved