Literature DB >> 27135042

The Hearing-Aid Audio Quality Index (HAAQI).

James M Kates1, Kathryn H Arehart1.   

Abstract

This paper presents an index designed to predict music quality for individuals listening through hearing aids. The index is "intrusive", that is, it compares the degraded signal being evaluated to a reference signal. The index is based on a model of the auditory periphery that includes the effects of hearing loss. Outputs from the auditory model are used to measure changes in the signal time-frequency envelope modulation, temporal fine structure, and long-term spectrum caused by the hearing aid processing. The index is constructed by combining a term sensitive to noise and nonlinear distortion with a second term sensitive to changes in the long-term spectrum. The index is fitted to an existing database of music quality judgments made by listeners having normal or impaired hearing. The data comprise ratings for three music excerpts (classical orchestra, jazz trio, and jazz singer), each processed through 100 conditions representative of hearing-aid processing and listening situations. The overall accuracy of the index is high, with a correlation coefficient of 0.970 when computed over all of the processing conditions and averaged over the combined groups of listeners having normal and impaired hearing.

Entities:  

Keywords:  Hearing aids; hearing loss; music quality measures; objective audio quality measures

Year:  2015        PMID: 27135042      PMCID: PMC4849486          DOI: 10.1109/TASLP.2015.2507858

Source DB:  PubMed          Journal:  IEEE/ACM Trans Audio Speech Lang Process


  33 in total

1.  Inter-relationship between different psychoacoustic measures assumed to be related to the cochlear active mechanism.

Authors:  B C Moore; D A Vickers; C J Plack; A J Oxenham
Journal:  J Acoust Soc Am       Date:  1999-11       Impact factor: 1.840

2.  Basilar-membrane nonlinearity estimated by pulsation threshold.

Authors:  C J Plack; A J Oxenham
Journal:  J Acoust Soc Am       Date:  2000-01       Impact factor: 1.840

3.  Perceived naturalness of spectrally distorted speech and music.

Authors:  Brian C J Moore; Chin-Tuan Tan
Journal:  J Acoust Soc Am       Date:  2003-07       Impact factor: 1.840

Review 4.  Hearing AIDS and music.

Authors:  Marshall Chasin; Frank A Russo
Journal:  Trends Amplif       Date:  2004

5.  Time-domain modeling of peripheral auditory processing: a modular architecture and a software platform.

Authors:  R D Patterson; M H Allerhand; C Giguère
Journal:  J Acoust Soc Am       Date:  1995-10       Impact factor: 1.840

6.  Effects of noise, nonlinear processing, and linear filtering on perceived music quality.

Authors:  Kathryn H Arehart; James M Kates; Melinda C Anderson
Journal:  Int J Audiol       Date:  2011-03       Impact factor: 2.117

7.  Music preferences with hearing aids: effects of signal properties, compression settings, and listener characteristics.

Authors:  Naomi B H Croghan; Kathryn H Arehart; James M Kates
Journal:  Ear Hear       Date:  2014 Sep-Oct       Impact factor: 3.570

8.  Spectral-shape features versus formants as acoustic correlates for vowels.

Authors:  S A Zahorian; A J Jagharghi
Journal:  J Acoust Soc Am       Date:  1993-10       Impact factor: 1.840

9.  Suggested formulae for calculating auditory-filter bandwidths and excitation patterns.

Authors:  B C Moore; B R Glasberg
Journal:  J Acoust Soc Am       Date:  1983-09       Impact factor: 1.840

10.  AP measurements of short-term adaptation in normal and in acoustically traumatized ears.

Authors:  M P Gorga; P J Abbas
Journal:  J Acoust Soc Am       Date:  1981-11       Impact factor: 1.840

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  1 in total

1.  Instrumental Quality Predictions and Analysis of Auditory Cues for Algorithms in Modern Headphone Technology.

Authors:  Thomas Biberger; Henning Schepker; Florian Denk; Stephan D Ewert
Journal:  Trends Hear       Date:  2021 Jan-Dec       Impact factor: 3.293

  1 in total

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