Data from : Evaluating and Predicting the Audibility of Acoustic Alarms in the Workplace Using Experimental Methods and Deep Learning

This repository serves as a complementary resource accompanying the academic paper titled "Evaluating and Predicting the Audibility of Acoustic Alarms in the Workplace Using Experimental Methods and Deep Learning". It comprises detailed information regarding the alarms and backgrounds used in the psychoacoustical experiment, alongside a dataset containing the acoustic data, metadata, and perceptual annotations. All the data will be made available shortly. Concurrently, the code and model weights corresponding to the neural network section discussed in the paper will be accessible via the designated GitHub repository : https://github.com/effajr/predicting_alarm_audibility