Literature DB >> 17550181

Contributions of individual components to the overall loudness of a multitone complex.

Lori J Leibold1, Hongyang Tan, Samar Khaddam, Walt Jesteadt.   

Abstract

The contributions of individual components to the overall loudness of a multitone complex were examined in a two-interval, loudness judgment task. Stimuli were five-tone complexes centered on 1000 Hz, with six different logarithmic frequency spacings, corresponding to bandwidths from 46 to 2119 Hz. Stimuli were presented for 300 ms (10 ms rise/fall). The overall level of the standard complex was fixed at 60 dB SPL (53 dB/component). Levels of the individual components of the comparison complex were selected at random from a rectangular distribution with a range of 20 dB. Perceptual weights were computed by calculating the point-biserial correlation between the difference in the level of each component across the two intervals and the subject's response. When all components fell within the same critical band, weights varied little across components. In contrast, the range of weights increased with increasing frequency separation, with more weight given to the lowest and highest frequency components. A relation between component weight and masked threshold was observed for all but the widest spacing condition. Perceptual weights and masked thresholds were largely in agreement with the loudness model [Moore et al., J. Audio. Eng. Soc. 45, 224-237 (1997)], except at the widest bandwidth.

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Year:  2007        PMID: 17550181     DOI: 10.1121/1.2715456

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  12 in total

1.  FM-selective networks in human auditory cortex revealed using fMRI and multivariate pattern classification.

Authors:  I-Hui Hsieh; Paul Fillmore; Feng Rong; Gregory Hickok; Kourosh Saberi
Journal:  J Cogn Neurosci       Date:  2012-05-29       Impact factor: 3.225

2.  Effects of relative and absolute frequency in the spectral weighting of loudness.

Authors:  Suyash Narendra Joshi; Marcin Wróblewski; Kendra K Schmid; Walt Jesteadt
Journal:  J Acoust Soc Am       Date:  2016-01       Impact factor: 1.840

3.  Use of perceptual weights to test a model of loudness summation.

Authors:  Lori J Leibold; Walt Jesteadt
Journal:  J Acoust Soc Am       Date:  2007-09       Impact factor: 1.840

4.  Effects of Amplification and Hearing Aid Experience on the Contribution of Specific Frequency Bands to Loudness.

Authors:  Katie M Thrailkill; Marc A Brennan; Walt Jesteadt
Journal:  Ear Hear       Date:  2019 Jan/Feb       Impact factor: 3.570

5.  Perceptual weights for loudness judgments of six-tone complexes.

Authors:  Walt Jesteadt; Daniel L Valente; Suyash N Joshi; Kendra K Schmid
Journal:  J Acoust Soc Am       Date:  2014-08       Impact factor: 1.840

6.  Relative contributions of specific frequency bands to the loudness of broadband sounds.

Authors:  Walt Jesteadt; Sara M Walker; Oluwaseye A Ogun; Brenda Ohlrich; Katyarina E Brunette; Marcin Wróblewski; Kendra K Schmid
Journal:  J Acoust Soc Am       Date:  2017-09       Impact factor: 1.840

7.  Categorical loudness scaling and equal-loudness contours in listeners with normal hearing and hearing loss.

Authors:  Daniel M Rasetshwane; Andrea C Trevino; Jessa N Gombert; Lauren Liebig-Trehearn; Judy G Kopun; Walt Jesteadt; Stephen T Neely; Michael P Gorga
Journal:  J Acoust Soc Am       Date:  2015-04       Impact factor: 1.840

8.  Perceptual interactions in the loudness of combined auditory and vibrotactile stimuli.

Authors:  E Courtenay Wilson; Louis D Braida; Charlotte M Reed
Journal:  J Acoust Soc Am       Date:  2010-05       Impact factor: 1.840

9.  Spectral weights for sample discrimination as a function of overall level.

Authors:  Lori J Leibold; Hongyang Tan; Walt Jesteadt
Journal:  J Acoust Soc Am       Date:  2009-01       Impact factor: 1.840

10.  Spectro-temporal weighting of loudness.

Authors:  Daniel Oberfeld; Wiebke Heeren; Jan Rennies; Jesko Verhey
Journal:  PLoS One       Date:  2012-11-28       Impact factor: 3.240

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