This paper presents a multichannel audio coding scheme based on existing parametric spatial audio coding schemes, which aims at both data compression and quality improvement. It provides a dynamic quantization method of the spatial parameters relying on an instantaneous estimation of human auditory spatial resolution. Psychoacoustic experiments studying this resolution for complex sound scenes are reported. They consist of measures of azimuthal localization blur through minimum audible angles. Results mainly show that the spatial auditory resolution is likely to degrade as the scene gets more complex. A modeling of this phenomenon is also outlined.

Authors: Daniel, Adrien; Nicol, Rozenn; McAdams, Stephen
Affiliations: CIRMMT, Schulich School of Music, McGill University, Montreal, Quebec, Canada; Orange Labs - Lannion, Lannion, France(See document for exact affiliation information.)
AES Conference: 45th International Conference: Applications of Time-Frequency Processing in Audio (March 2012)
Paper Number: 5-1
Publication Date: March 1, 2012
Subject: Psychoacoustics and Hearing

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