2018
DOI: 10.1121/1.5079636
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Development and validation of a spectro-temporal processing test for cochlear-implant listeners

Abstract: Psychophysical tests of spectro-temporal resolution may aid the evaluation of methods for improving hearing by cochlear implant (CI) listeners. Here the STRIPES (Spectro-Temporal Ripple for Investigating Processor EffectivenesS) test is described and validated. Like speech, the test requires both spectral and temporal processing to perform well. Listeners discriminate between complexes of sine sweeps which increase or decrease in frequency; difficulty is controlled by changing the stimulus spectro-temporal den… Show more

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Cited by 31 publications
(49 citation statements)
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“…As noted earlier, performance of the STRt and STRt dir , and related tests that require the discrimination of glide direction (Archer-Boyd et al, 2018), may depend on both spectral and temporal resolution, depending on the value of R. For low values of R, spectral resolution is probably the dominant factor. However, as R increases, temporal resolution plays an increasing role, and for very high R temporal resolution is likely to be the main factor limiting performance.…”
Section: Introductionmentioning
confidence: 85%
See 1 more Smart Citation
“…As noted earlier, performance of the STRt and STRt dir , and related tests that require the discrimination of glide direction (Archer-Boyd et al, 2018), may depend on both spectral and temporal resolution, depending on the value of R. For low values of R, spectral resolution is probably the dominant factor. However, as R increases, temporal resolution plays an increasing role, and for very high R temporal resolution is likely to be the main factor limiting performance.…”
Section: Introductionmentioning
confidence: 85%
“…In variants of these tests, the ripples have been made to glide upwards or downwards in frequency to produce a spectro-temporal ripple noise (STRn), with temporal repetition rate, R (in ripples/s). It has been assumed in many studies using STRn stimuli that performance depends on both spectral and temporal resolution (Archer-Boyd et al, 2018;Chi et al, 1999;Nechaev et al, 2018). However, the relative importance of these two has not been systematically assessed.…”
Section: Introductionmentioning
confidence: 99%
“…For the first experiment, we varied the amount of blurring, as a means of manipulating channel interaction, by adjusting the spectral overlap between electrode channels in terms of the acoustic bandwidths of the input analysis filters. This method of blurring at the input of the CI has been used previously and led to significant decreases in performance on a spectro-temporal test with CI users (Archer-Boyd et al, 2018). The Advanced Bionics (AB) CI speech processor makes use of a 16-band analysis filter bank with a frequency range from 238 up to 8054 Hz.…”
Section: Methods For Blurring At the Input Levelmentioning
confidence: 99%
“…We therefore measured performance as a function of the amount of blurring, and used the blurring amount at which performance started to deteriorate as a measure of the spectro-temporal resolution for each subject. We then correlated this estimate, across listeners, with performance on a nonspeech spectro-temporal task (Archer-Boyd et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…However, using subjectdependent criteria would be similar to finding the subjectspecific carrier rate and, even if beneficial, it remains unclear whether this could be achieved in a time-efficient manner. Nevertheless, one method could be to use a spectro-temporal test, such as SMRT (Aronoff and Landsberger, 2013) or STRIPES (Archer-Boyd et al, 2018), to assess listener performance and identify the best strategy for each subject.…”
Section: Perspectivesmentioning
confidence: 99%