2024
BWSNET: Automatic Perceptual Assessment of Audio Signals
ICASSP 2024accepted
This paper introduces BWSNet, a model that can be trained from raw human judgements obtained through a Best-Worst scaling (BWS) experiment. It maps sound samples into an embedded space that represents the perception of a studied attribute. To this end, we propose a set of cost functions and constrai…