A Python implementation of observer-based audibility modelling methods

This Python code is derived from the research article "Evaluating and Predicting the Audibility of Acoustic Alarms in the Workplace Using Experimental Methods and Deep Learning" published in the journal Applied Acoustics. It provides a framework for predicting the audibility of acoustic alarms in noise, and includes scripts to reproduce the results

An audibility based approach to predict the head-shadow effect and the speech intelligibility in quiet and noise with a Percutaneous Bone Conduction Device in Single-sided Deaf Subjects