Selection of temporal windows for the computational prediction of masking thresholds

Khan Baykaner; Christopher Hummersone; Russell Mason; Søren Bech

doi:10.1109/ICASSP.2013.6637679

Selection of temporal windows for the computational prediction of masking thresholds

Khan Baykaner, Christopher Hummersone, Russell Mason, Søren Bech

Department of Electronic Systems

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

Abstract

In the field of auditory masking threshold predictions an optimal method for buffering a continuous, ecologically valid programme combination into discrete temporal windows has yet to be determined. An investigation was carried out into the use of a variety of temporal window durations, shapes, and steps, in order to discern the resultant effect upon the accuracy of various masking threshold prediction models. Selection of inappropriate temporal windows can triple the prediction error in some cases. Overlapping windows were found to produce the lowest errors provided that the predictions were smoothed appropriately. The optimal window shape varied across the tested models. The most accurate variant of each model resulted in root mean squared errors of 2.3, 3.4, and 4.2 dB.

Original language	English
Title of host publication	2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
Number of pages	5
Publisher	IEEE
Publication date	18 Oct 2013
Pages	408-412
Article number	6637679
ISBN (Electronic)	978-1-4799-0356-6
DOIs	https://doi.org/10.1109/ICASSP.2013.6637679
Publication status	Published - 18 Oct 2013
Event	2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada Duration: 26 May 2013 → 31 May 2013

Conference

Conference	2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Country/Territory	Canada
City	Vancouver, BC
Period	26/05/2013 → 31/05/2013
Sponsor	IEE Signal Processing Society

Keywords

Masking
Prediction
Temporal
Threshold

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10.1109/ICASSP.2013.6637679

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title = "Selection of temporal windows for the computational prediction of masking thresholds",

abstract = "In the field of auditory masking threshold predictions an optimal method for buffering a continuous, ecologically valid programme combination into discrete temporal windows has yet to be determined. An investigation was carried out into the use of a variety of temporal window durations, shapes, and steps, in order to discern the resultant effect upon the accuracy of various masking threshold prediction models. Selection of inappropriate temporal windows can triple the prediction error in some cases. Overlapping windows were found to produce the lowest errors provided that the predictions were smoothed appropriately. The optimal window shape varied across the tested models. The most accurate variant of each model resulted in root mean squared errors of 2.3, 3.4, and 4.2 dB.",

keywords = "Masking, Prediction, Temporal, Threshold",

author = "Khan Baykaner and Christopher Hummersone and Russell Mason and S{\o}ren Bech",

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doi = "10.1109/ICASSP.2013.6637679",

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note = "2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 ; Conference date: 26-05-2013 Through 31-05-2013",

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Baykaner, K, Hummersone, C, Mason, R & Bech, S 2013, Selection of temporal windows for the computational prediction of masking thresholds. in 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings., 6637679, IEEE, pp. 408-412, 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013, Vancouver, BC, Canada, 26/05/2013. https://doi.org/10.1109/ICASSP.2013.6637679

Selection of temporal windows for the computational prediction of masking thresholds. / Baykaner, Khan; Hummersone, Christopher; Mason, Russell et al.
2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings. IEEE, 2013. p. 408-412 6637679.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Selection of temporal windows for the computational prediction of masking thresholds

AU - Baykaner, Khan

AU - Hummersone, Christopher

AU - Mason, Russell

AU - Bech, Søren

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N2 - In the field of auditory masking threshold predictions an optimal method for buffering a continuous, ecologically valid programme combination into discrete temporal windows has yet to be determined. An investigation was carried out into the use of a variety of temporal window durations, shapes, and steps, in order to discern the resultant effect upon the accuracy of various masking threshold prediction models. Selection of inappropriate temporal windows can triple the prediction error in some cases. Overlapping windows were found to produce the lowest errors provided that the predictions were smoothed appropriately. The optimal window shape varied across the tested models. The most accurate variant of each model resulted in root mean squared errors of 2.3, 3.4, and 4.2 dB.

AB - In the field of auditory masking threshold predictions an optimal method for buffering a continuous, ecologically valid programme combination into discrete temporal windows has yet to be determined. An investigation was carried out into the use of a variety of temporal window durations, shapes, and steps, in order to discern the resultant effect upon the accuracy of various masking threshold prediction models. Selection of inappropriate temporal windows can triple the prediction error in some cases. Overlapping windows were found to produce the lowest errors provided that the predictions were smoothed appropriately. The optimal window shape varied across the tested models. The most accurate variant of each model resulted in root mean squared errors of 2.3, 3.4, and 4.2 dB.

KW - Masking

KW - Prediction

KW - Temporal

KW - Threshold

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DO - 10.1109/ICASSP.2013.6637679

M3 - Article in proceeding

AN - SCOPUS:84890520057

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EP - 412

BT - 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings

PB - IEEE

T2 - 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013

Y2 - 26 May 2013 through 31 May 2013

ER -

Selection of temporal windows for the computational prediction of masking thresholds

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Keywords

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