AIConfPaper
← Search

Lorenzo Picinali

2 accepted papers

2023

Classifying Non-Individual Head-Related Transfer Functions with A Computational Auditory Model: Calibration And Metrics

Rapolas Daugintis, Roberto Barumerli, Lorenzo Picinali, Michele Geronazzo
ICASSP 2023accepted

This study explores the use of a multi-feature Bayesian auditory sound localisation model to classify non-individual head-related transfer functions (HRTFs). Based on predicted sound localisation performance, these are grouped into ‘good’ and ‘bad’, and the ‘best’/‘worst’ is selected from each categ…

Cited by 0Source ↗Scholar ↗
2023

On the Relevance of the Differences Between HRTF Measurement Setups for Machine Learning

Johan Pauwels, Lorenzo Picinali
ICASSP 2023accepted

As spatial audio is enjoying a surge in popularity, data-driven machine learning techniques that have been proven successful in other domains are increasingly used to process head-related transfer function measurements. However, these techniques require much data, whereas the existing datasets are r…

Cited by 0Source ↗Scholar ↗