Extends the generalized envelope power spectrum model with a 5-channel binaural monaural feature decoder (BMFD) to create a unified model evaluated on monaural and binaural psychoacoustic experiments.
A computational model of human auditory signal processing and perception
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Deep recurrent autoencoders convert images to shortened audio signals that incorporate hearing models, enabling above-chance hand posture discrimination and object reaching after a few hours of training instead of months.
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Towards a generalized monaural and binaural auditory model for psychoacoustics and speech intelligibility
Extends the generalized envelope power spectrum model with a 5-channel binaural monaural feature decoder (BMFD) to create a unified model evaluated on monaural and binaural psychoacoustic experiments.
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Autoencoding sensory substitution
Deep recurrent autoencoders convert images to shortened audio signals that incorporate hearing models, enabling above-chance hand posture discrimination and object reaching after a few hours of training instead of months.