Auditory Time-Frequency Masking for Spectrally and Temporally Maximally-Compact Stimuli.

ABSTRACT: Many audio applications perform perception-based time-frequency (TF) analysis by decomposing sounds into a set of functions with good TF localization (i.e. with a small essential support in the TF domain) using TF transforms and applying psychoacoustic models of auditory masking to the transform coefficients. To accurately predict masking interactions between coefficients, the TF properties of the model should match those of the transform. This involves having masking data for stimuli with good TF localization. However, little is known about TF masking for mathematically well-localized signals. Most existing masking studies used stimuli that are broad in time and/or frequency and few studies involved TF conditions. Consequently, the present study had two goals. The first was to collect TF

SUBMITTER: Necciari T 

PROVIDER: S-EPMC5119819 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature