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Multicenter evaluation of signal enhancement algorithms for hearing aidsa)
a)Portions of this work were presented at Acoustics'08, Paris, France, June 2008; International Hearing Aid Research Conference (IHCON), Lake Tahoe, CA, August 2008; the 16th European Signal Processing Conference (EUSIPCO), Lausanne, Switzerland, September 2008; and the 9th European Federation of Audiology Societies Congress, Tenerife, Spain, June 2009.
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10.1121/1.3299168
/content/asa/journal/jasa/127/3/10.1121/1.3299168
http://aip.metastore.ingenta.com/content/asa/journal/jasa/127/3/10.1121/1.3299168

Figures

Image of FIG. 1.
FIG. 1.

Mean SRTs (and standard deviations) relative to those for the unprocessed condition in an office-like room with three noise sources. Results are shown for the different test sites averaged over all subject groups.

Image of FIG. 2.
FIG. 2.

As Fig. 1, but for the three subject groups averaged over all test sites.

Image of FIG. 3.
FIG. 3.

Comparison of results for two noise scenarios. Mean SRTs (and standard deviations) relative to those for the unprocessed condition in an office-like room are shown. Results are averaged over three subject groups and three test sites.

Image of FIG. 4.
FIG. 4.

Comparison of results for two types of rooms. Mean SRTs (and standard deviations) relative to those for the unprocessed condition are shown. Results are averaged over three subject groups and two test sites.

Image of FIG. 5.
FIG. 5.

Median LES for the unprocessed condition for different SNRs. The effects of test site and subject group are shown in the left and right panels, respectively. Error bars represent first and third quartiles.

Image of FIG. 6.
FIG. 6.

LES relative to the LES for the unprocessed condition for 0 dB SNR. The error bars show the first and third quartiles. Algorithm scores that are significantly different from those for the unprocessed condition are indicated with an asterisk.

Image of FIG. 7.
FIG. 7.

LES relative to the LES for the unprocessed condition for SNRs from −10 to , averaged over all subjects. The error bars show the first and third quartiles. Algorithm scores that are significantly different from those for the unprocessed condition are indicated with an asterisk.

Image of FIG. 8.
FIG. 8.

PR results expressed as the percentage of wins for the algorithms compared to the unprocessed condition at three SNRs.

Image of FIG. 9.
FIG. 9.

PR scores for the different SNRs averaged over the test sites and subject groups. The medians (for the rating of the algorithms and the estimated confidence intervals) of the individual (subject) data, transformed with a LGM, are plotted with bars. The offset along the LGM scale is adjusted to zero for the unprocessed condition for every subject individually. Additionally, the categories are indicated.

Tables

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TABLE I.

Characteristics of the different signal enhancement approaches when implemented on the PHS system.

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TABLE II.

Description of the subject groups. Degree, slope, and symmetry were calculated for octave frequencies from 500 to 4000 Hz. Slope was defined as the difference between the maximum and minimum hearing thresholds. Symmetry was defined as the average absolute difference between the left and the right hearing thresholds.

Generic image for table
TABLE III.

Overview table indicating which partners performed which SRT test conditions.

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/content/asa/journal/jasa/127/3/10.1121/1.3299168
2010-03-23
2014-04-19
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Multicenter evaluation of signal enhancement algorithms for hearing aidsa)
http://aip.metastore.ingenta.com/content/asa/journal/jasa/127/3/10.1121/1.3299168
10.1121/1.3299168
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