Frequency-temporal resolution of hearing measured by rippled noise

Supin, Alexander Ya.; Vv, Popov; Milekhina, Olga N.; Tarakanov, Mikhail B.

doi:10.1016/s0378-5955(97)00035-x

Cited by 32 publications

(24 citation statements)

References 31 publications

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“…Ripple discrimination appears to vary across the electrode array, presumably due to many factors such as neural survival and electrode placement. Supin et al (1997) measured ripple discrimination in normal-hearing subjects as a function of the center frequency (CF) of octaveband rippled noise stimuli. They found that for frequencies below 1000 Hz, ripple discrimination threshold increased with increasing CF, but above 1000 Hz, thresholds remained roughly constant with increasing CF, in line with estimates of frequency selectivity using simultaneously presented notched noise (Glasberg and Moore, 1990).…”

Section: Discussionmentioning

confidence: 99%

“…Another measure that has recently gained popularity involves spectral ripple discrimination, where a spectrally rippled stimulus is discriminated from another spectrally rippled stimulus, with the spectral (or spatial) positions of the peaks and valleys reversed (e.g., Henry and Turner, 2003;Henry et al, 2005;Won et al, 2007). The reasoning behind the test, which was originally developed to test normal acoustic hearing (e.g., Supin et al, 1994Supin et al, , 1997, is that the maximum ripple rate at which the original and phasereversed stimuli are discriminable provides information regarding the limits of spectral resolution.…”

Section: Introductionmentioning

confidence: 99%

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Comparing spatial tuning curves, spectral ripple resolution, and speech perception in cochlear implant users

Anderson

Nelson

Kreft

et al. 2011

The Journal of the Acoustical Society of America

117

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Spectral ripple discrimination thresholds were measured in 15 cochlear-implant users with broadband (350-5600 Hz) and octave-band noise stimuli. The results were compared with spatial tuning curve (STC) bandwidths previously obtained from the same subjects. Spatial tuning curve bandwidths did not correlate significantly with broadband spectral ripple discrimination thresholds but did correlate significantly with ripple discrimination thresholds when the rippled noise was confined to an octave-wide passband, centered on the STC's probe electrode frequency allocation. Ripple discrimination thresholds were also measured for octave-band stimuli in four contiguous octaves, with center frequencies from 500 Hz to 4000 Hz. Substantial variations in thresholds with center frequency were found in individuals, but no general trends of increasing or decreasing resolution from apex to base were observed in the pooled data. Neither ripple nor STC measures correlated consistently with speech measures in noise and quiet in the sample of subjects in this study. Overall, the results suggest that spectral ripple discrimination measures provide a reasonable measure of spectral resolution that correlates well with more direct, but more time-consuming, measures of spectral resolution, but that such measures do not always provide a clear and robust predictor of performance in speech perception tasks.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparing spatial tuning curves, spectral ripple resolution, and speech perception in cochlear implant users

Anderson

Nelson

Kreft

et al. 2011

The Journal of the Acoustical Society of America

117

View full text Add to dashboard Cite

show abstract

“…Performance in the task is correlated with vowel and consonant recognition by CI users in quiet (Henry and Turner, 2003;Henry et al, 2005), speech perception in noise (Won et al, 2007), and music perception . These results have been interpreted as indicating the usefulness of spectral-ripple discrimination thresholds as an approximate metric of the spectral resolution of CI users, much as the ripple phase-inversion technique has been used to characterize the frequency resolving power of listeners with normal hearing (Supin et al, 1994(Supin et al, , 1997(Supin et al, , 1999.…”

Section: Introductionmentioning

confidence: 99%

Relationship between channel interaction and spectral-ripple discrimination in cochlear implant users

Jones

Won

Drennan

et al. 2013

The Journal of the Acoustical Society of America

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Cochlear implant (CI) users can achieve remarkable speech understanding, but there is great variability in outcomes that is only partially accounted for by age, residual hearing, and duration of deafness. Results might be improved with the use of psychophysical tests to predict which sound processing strategies offer the best potential outcomes. In particular, the spectral-ripple discrimination test offers a time-efficient, nonlinguistic measure that is correlated with perception of both speech and music by CI users. Features that make this "one-point" test time-efficient, and thus potentially clinically useful, are also connected to controversy within the CI field about what the test measures. The current work examined the relationship between thresholds in the one-point spectral-ripple test, in which stimuli are presented acoustically, and interaction indices measured under the controlled conditions afforded by direct stimulation with a research processor. Results of these studies include the following: (1) within individual subjects there were large variations in the interaction index along the electrode array, (2) interaction indices generally decreased with increasing electrode separation, and (3) spectral-ripple discrimination improved with decreasing mean interaction index at electrode separations of one, three, and five electrodes. These results indicate that spectral-ripple discrimination thresholds can provide a useful metric of the spectral resolution of CI users.

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“…Thus, each alternating probe contained three 1.25/s cycles of switching between the two alternative spectra. This reversal rate of 1.25/s was used since at higher reversal rates, ripple resolution decreases (Supin et al, 1997). In constant probes, the rippled spectrum remained constant (one of the two shown in Fig.…”

Section: Stimulus Parametersmentioning

confidence: 99%

“…The rippled-spectrum 'grid' is a convenient probe to measure spectral resolution (Summers and Leek, 1994;Supin et al, 1994Supin et al, , 1997Eddins and Bero, 2007). Its special versions (including ''iterated rippled noise") with equally spaced ripples were also successfully used to investigate the time-separation pitch effect Yost andHill, 1978, 1979;Bilsen and Wieman, 1980;Yost, 1982).…”

Section: Introductionmentioning

confidence: 99%

Masking of rippled-spectrum-pattern resolution in diotic and dichotic presentations

Supin

Milekhina

et al. 2010

Hearing Research

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Frequency-temporal resolution of hearing measured by rippled noise

Cited by 32 publications

References 31 publications

Comparing spatial tuning curves, spectral ripple resolution, and speech perception in cochlear implant users

Comparing spatial tuning curves, spectral ripple resolution, and speech perception in cochlear implant users

Relationship between channel interaction and spectral-ripple discrimination in cochlear implant users

Masking of rippled-spectrum-pattern resolution in diotic and dichotic presentations

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