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Exponential spectro-temporal modulation generation

Traditionally, real-time generation of spectro-temporally modulated noise has been performed on a linear amplitude scale, partially due to computational constraints. Experiments often require modulation that is sinusoidal on a logarithmic amplitude scale as a result of the many perceptual and physio...

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Autores principales: Stavropoulos, Trevor A., Isarangura, Sittiprapa, Hoover, Eric C., Eddins, David A., Seitz, Aaron R., Gallun, Frederick J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Acoustical Society of America 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8097710/
https://www.ncbi.nlm.nih.gov/pubmed/33765775
http://dx.doi.org/10.1121/10.0003604
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author Stavropoulos, Trevor A.
Isarangura, Sittiprapa
Hoover, Eric C.
Eddins, David A.
Seitz, Aaron R.
Gallun, Frederick J.
author_facet Stavropoulos, Trevor A.
Isarangura, Sittiprapa
Hoover, Eric C.
Eddins, David A.
Seitz, Aaron R.
Gallun, Frederick J.
author_sort Stavropoulos, Trevor A.
collection PubMed
description Traditionally, real-time generation of spectro-temporally modulated noise has been performed on a linear amplitude scale, partially due to computational constraints. Experiments often require modulation that is sinusoidal on a logarithmic amplitude scale as a result of the many perceptual and physiological measures which scale linearly with exponential changes in the signal magnitude. A method is presented for computing exponential spectro-temporal modulation, showing that it can be expressed analytically as a sum over linearly offset sidebands with component amplitudes equal to the values of the modified Bessel function of the first kind. This approach greatly improves the efficiency and precision of stimulus generation over current methods, facilitating real-time generation for a broad range of carrier and envelope signals.
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spelling pubmed-80977102021-05-05 Exponential spectro-temporal modulation generation Stavropoulos, Trevor A. Isarangura, Sittiprapa Hoover, Eric C. Eddins, David A. Seitz, Aaron R. Gallun, Frederick J. J Acoust Soc Am Psychological and Physiological Acoustics Traditionally, real-time generation of spectro-temporally modulated noise has been performed on a linear amplitude scale, partially due to computational constraints. Experiments often require modulation that is sinusoidal on a logarithmic amplitude scale as a result of the many perceptual and physiological measures which scale linearly with exponential changes in the signal magnitude. A method is presented for computing exponential spectro-temporal modulation, showing that it can be expressed analytically as a sum over linearly offset sidebands with component amplitudes equal to the values of the modified Bessel function of the first kind. This approach greatly improves the efficiency and precision of stimulus generation over current methods, facilitating real-time generation for a broad range of carrier and envelope signals. Acoustical Society of America 2021-03 2021-03-02 /pmc/articles/PMC8097710/ /pubmed/33765775 http://dx.doi.org/10.1121/10.0003604 Text en © 2021 Author(s). 0001-4966/2021/149(3)/1434/10 https://creativecommons.org/licenses/by/4.0/All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Psychological and Physiological Acoustics
Stavropoulos, Trevor A.
Isarangura, Sittiprapa
Hoover, Eric C.
Eddins, David A.
Seitz, Aaron R.
Gallun, Frederick J.
Exponential spectro-temporal modulation generation
title Exponential spectro-temporal modulation generation
title_full Exponential spectro-temporal modulation generation
title_fullStr Exponential spectro-temporal modulation generation
title_full_unstemmed Exponential spectro-temporal modulation generation
title_short Exponential spectro-temporal modulation generation
title_sort exponential spectro-temporal modulation generation
topic Psychological and Physiological Acoustics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8097710/
https://www.ncbi.nlm.nih.gov/pubmed/33765775
http://dx.doi.org/10.1121/10.0003604
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