Abstract
Conventional audio coding algorithms do not fully exploit knowledge of the temporal masking properties of the human auditory system, as they generally rely on simultaneous masking models. The paper presents a comparison of four auditory temporal masking models for audio coding applications. It is shown that the combination of temporal masking and simultaneous masking in an audio coding algorithm results in a further bit rate reduction of approximately 20%, compared to using simultaneous masking alone, while retaining perceptual quality. We also describe modifications to one of the models that enhance its performance; in particular, this modified model is shown to outperform the other ones. Results from objective tests have been confirmed by semi-formal subjective testing on audio signals.
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