Sagarika Alavilli

Neural networks trained to detect sound categories in synthetic multi-source scenes approach human accuracy on the EnvAudioEval behavioral benchmark and track human patterns better than cochlear or cortical filterbank baselines.

The paper develops task-optimized models of sensory uncertainty and shows human confidence judgments align with model-derived uncertainty estimates in sound localization and pitch perception.