Abstract
Evaluating immersive sound fields requires a group of trained and experienced listeners. This study investigates whether unsupervised clustering using a self-organizing map can be used to group listeners based on their perceptual responses to immersive reproduction of two orchestral music recordings. The study trained a clustering model using 82 subjects' subjective responses, which consisted of five attribute ratings and one preference rating. Subsequently, the model was validated with a new data set from 19 subjects. The results showed that the model was 84% accurate compared to manual clustering. The clustered group's cognitive characteristics were similar to a previous study, supporting the efficacy of the proposed neural-network clustering. The authors will continue to collect more data to further validate and update the model, which will reliably and quickly evaluate a participant's degree of training and experience to determine their eligibility for relevant subjective evaluations of immersive auditory experiences.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: INTER-NOISE and NOISE-CON Congress and Conference Proceedings
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
