Validating a real-time perceptual model predicting distraction caused by audio-on-audio interference

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Abstract

This work concentrates on validating a real-time perceptual model predicting distraction caused by audio-on-audio interference. The real-time model was recently developed on the basis of another successfully validated, perceptual distraction model, which is not able to calculate predictions in real time. Both models are non-blind, i.e., their inputs take target and interferer signals separately. This paper describes a validation experiment for the real-time distraction model, which compares the model's predictions to subjective distraction ratings obtained from a listening experiment. The accuracy of the real-time model is also compared to that of the original distraction model. The calculated root-mean-squared errors for a speech zone and a music zone were 10.2% and 12.6% for the real-time model, respectively, compared to 11.3% and 11.5% for the original model. The results indicate that the real-time model is able to predict the distraction with similar accuracy as the original model, and thus, is a suitable tool for sound-zone evaluation. Furthermore, the real-time capability of the model is considered to be vital for certain applications, including the evaluation of adaptive sound zones.

Translated title of the contributionValidering af en perceptuel model til forudsgelse af Distraction i et lyd zone system
Original languageEnglish
JournalThe Journal of the Acoustical Society of America
Volume144
Issue number1
Pages (from-to)153-163
Number of pages11
ISSN0001-4966
DOIs
Publication statusPublished - 2018

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