An audio quantizer based on time domain auditory masking model

Thomas Zarouchas*, Joerg Buchholz, John Mourjopoulos

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review


A novel, non-uniform PCM audio quantizer is described, employing a time-domain Computational Auditory Masking Model (CAMM). The model utilizes the concept of Signal Dependent Compression to produce an internal representation of the input signal so that via the use of a decision device a time-varying threshold can be derived. Based on this model, the proposed quantizer evaluates masked/unmasked regions of the signal, so that by an iterative process, the desired variable bit allocation table can be generated to quantize audio samples. Preliminary results indicate good perceptual quality for an average rate of 6.7 bits/sample.

Original languageEnglish
Title of host publicationAudio Engineering Society - 118th Convention Spring Preprints 2005
Place of PublicationNew York
PublisherAudio Engineering Society
Number of pages7
ISBN (Print)9781604234848
Publication statusPublished - 2005
Externally publishedYes
Event118th Convention Spring Preprints 2005 - Barcelona, Spain
Duration: 28 May 200531 May 2005


Other118th Convention Spring Preprints 2005


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