Real-Time Perceptual Model for Distraction in Interfering Audio-on-Audio Scenarios

Research output: Contribution to journalJournal articleResearchpeer-review

2 Citations (Scopus)

Abstract

This letter proposes a real-time perceptual model predicting the experienced distraction occurring in interfering audio-on-audio situations. The proposed model improves the computational efficiency of a previous distraction model, which cannot provide predictions in real time. The chosen approach was to utilize similar features as the previous model, but to use faster underlying algorithms to calculate these features. The results show that the proposed model has a root mean squared error of 11.9%, compared to the previous model's 11.0%, while only taking 0.04% of the computational time of the previous model. Thus, while providing similar accuracy as the previous model, the proposed model can be run in real time. The proposed distraction model can be used as a tool for evaluating and optimizing sound-zone systems. Furthermore, the real-time capability of the model introduces new possibilities, such as adaptive sound-zone systems.
Original languageEnglish
JournalIEEE Signal Processing Letters
Volume24
Issue number10
Pages (from-to)1448-1452
Number of pages5
ISSN1070-9908
DOIs
Publication statusPublished - 28 Jul 2017

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Real-time
Scenarios
Model
Acoustic waves
Computational efficiency
Mean Squared Error
Computational Efficiency
Fast Algorithm
Roots
Calculate
Prediction

Keywords

  • Acoustic signal processing
  • Audio systems
  • Predictive models
  • Psychoacoustics

Cite this

@article{1193b4270997472790b90f43ca19f261,
title = "Real-Time Perceptual Model for Distraction in Interfering Audio-on-Audio Scenarios",
abstract = "This letter proposes a real-time perceptual model predicting the experienced distraction occurring in interfering audio-on-audio situations. The proposed model improves the computational efficiency of a previous distraction model, which cannot provide predictions in real time. The chosen approach was to utilize similar features as the previous model, but to use faster underlying algorithms to calculate these features. The results show that the proposed model has a root mean squared error of 11.9{\%}, compared to the previous model's 11.0{\%}, while only taking 0.04{\%} of the computational time of the previous model. Thus, while providing similar accuracy as the previous model, the proposed model can be run in real time. The proposed distraction model can be used as a tool for evaluating and optimizing sound-zone systems. Furthermore, the real-time capability of the model introduces new possibilities, such as adaptive sound-zone systems.",
keywords = "Acoustic signal processing, Audio systems, Predictive models, Psychoacoustics",
author = "Jussi R{\"a}m{\"o} and S{\o}ren Bech and Jensen, {S{\o}ren Holdt}",
year = "2017",
month = "7",
day = "28",
doi = "10.1109/LSP.2017.2733084",
language = "English",
volume = "24",
pages = "1448--1452",
journal = "I E E E Signal Processing Letters",
issn = "1070-9908",
publisher = "IEEE",
number = "10",

}

Real-Time Perceptual Model for Distraction in Interfering Audio-on-Audio Scenarios. / Rämö, Jussi; Bech, Søren; Jensen, Søren Holdt.

In: IEEE Signal Processing Letters, Vol. 24, No. 10, 28.07.2017, p. 1448-1452.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Real-Time Perceptual Model for Distraction in Interfering Audio-on-Audio Scenarios

AU - Rämö, Jussi

AU - Bech, Søren

AU - Jensen, Søren Holdt

PY - 2017/7/28

Y1 - 2017/7/28

N2 - This letter proposes a real-time perceptual model predicting the experienced distraction occurring in interfering audio-on-audio situations. The proposed model improves the computational efficiency of a previous distraction model, which cannot provide predictions in real time. The chosen approach was to utilize similar features as the previous model, but to use faster underlying algorithms to calculate these features. The results show that the proposed model has a root mean squared error of 11.9%, compared to the previous model's 11.0%, while only taking 0.04% of the computational time of the previous model. Thus, while providing similar accuracy as the previous model, the proposed model can be run in real time. The proposed distraction model can be used as a tool for evaluating and optimizing sound-zone systems. Furthermore, the real-time capability of the model introduces new possibilities, such as adaptive sound-zone systems.

AB - This letter proposes a real-time perceptual model predicting the experienced distraction occurring in interfering audio-on-audio situations. The proposed model improves the computational efficiency of a previous distraction model, which cannot provide predictions in real time. The chosen approach was to utilize similar features as the previous model, but to use faster underlying algorithms to calculate these features. The results show that the proposed model has a root mean squared error of 11.9%, compared to the previous model's 11.0%, while only taking 0.04% of the computational time of the previous model. Thus, while providing similar accuracy as the previous model, the proposed model can be run in real time. The proposed distraction model can be used as a tool for evaluating and optimizing sound-zone systems. Furthermore, the real-time capability of the model introduces new possibilities, such as adaptive sound-zone systems.

KW - Acoustic signal processing

KW - Audio systems

KW - Predictive models

KW - Psychoacoustics

U2 - 10.1109/LSP.2017.2733084

DO - 10.1109/LSP.2017.2733084

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JO - I E E E Signal Processing Letters

JF - I E E E Signal Processing Letters

SN - 1070-9908

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