Convention Paper
A New Perceptual Model for Audio Coding Based on Spectro-Temporal Masking
AES Convention 124 · Paper 7336 · May 2008
Abstract
In psychoacoustics, considerable advances have been made recently in
developing computational models that can predict the
discriminability of two sounds taking into account spectro-temporal
masking effects. These models operate as artificial observers by
making predictions about the discriminability of arbitrary signals
[e.g. Dau et al. J. Acoust. Soc. Am. 99, Vol. 36(15), 1996].
Therefore, such models can be applied in the context of a perceptual
audio coder. A drawback, however, is the computational complexity of
such advanced models, especially because the model needs to evaluate
each quantization option separately. In this contribution a model is
introduced and evaluated that is a computationally lighter version
of the Dau model but maintains its essential spectro-temporal
masking predictions. Listening test results in a
transform coder setting show that the proposed model outperforms a
conventional purely spectral masking model and the original model
proposed by Dau.
