Use of Amplitude Modulation Cues Recovered from Frequency Modulation for Cochlear Implant Users When Original Speech Cues Are Severely Degraded

Won, Jong Ho; Shim, Hyun Joon; Lorenzi, Christian; Rubinstein, Jay T.

doi:10.1007/s10162-014-0444-1

Cited by 7 publications

(5 citation statements)

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“…Likewise, if CI users are programmed with a sixteen-channel sound coding strategies, the bandwidth of the digital filters is approximately two times wider than the bandwidth of the normal auditory filters. Nevertheless, recent studies [ 37 , 46 ] have demonstrated that CI users can make efficient use of AM cues recovered from speech FM cues both in quiet and in challenging listening environments, despite poor frequency selectivity. Therefore, significant correlations found in the current study between STM detection thresholds and sentence identification performance provide a further evidence that the sensitivity to AM cues recovered from broadband FM signals may be an important factor contributing to speech perception capabilities for CI users.…”

Section: Discussionmentioning

confidence: 99%

“…This point is timely important because CI manufacturers and investigators are making efforts to better represent the acoustic FM information through biphasic pulsatile stimulation strategies. Won et al (2014) [ 46 ] demonstrated that the ability of CI users to use recovered AM cues from broadband FM speech cues plays an important role in speech perception for acoustic environments where original speech cues are severely distorted. In this regard, it is noteworthy that a measure of sentence identification in steady-state background noise was used in the current study.…”

Section: Discussionmentioning

confidence: 99%

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Spectrotemporal Modulation Detection and Speech Perception by Cochlear Implant Users

et al. 2015

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Spectrotemporal modulation (STM) detection performance was examined for cochlear implant (CI) users. The test involved discriminating between an unmodulated steady noise and a modulated stimulus. The modulated stimulus presents frequency modulation patterns that change in frequency over time. In order to examine STM detection performance for different modulation conditions, two different temporal modulation rates (5 and 10 Hz) and three different spectral modulation densities (0.5, 1.0, and 2.0 cycles/octave) were employed, producing a total 6 different STM stimulus conditions. In order to explore how electric hearing constrains STM sensitivity for CI users differently from acoustic hearing, normal-hearing (NH) and hearing-impaired (HI) listeners were also tested on the same tasks. STM detection performance was best in NH subjects, followed by HI subjects. On average, CI subjects showed poorest performance, but some CI subjects showed high levels of STM detection performance that was comparable to acoustic hearing. Significant correlations were found between STM detection performance and speech identification performance in quiet and in noise. In order to understand the relative contribution of spectral and temporal modulation cues to speech perception abilities for CI users, spectral and temporal modulation detection was performed separately and related to STM detection and speech perception performance. The results suggest that that slow spectral modulation rather than slow temporal modulation may be important for determining speech perception capabilities for CI users. Lastly, test–retest reliability for STM detection was good with no learning. The present study demonstrates that STM detection may be a useful tool to evaluate the ability of CI sound processing strategies to deliver clinically pertinent acoustic modulation information.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Spectrotemporal Modulation Detection and Speech Perception by Cochlear Implant Users

et al. 2015

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“…In NH listeners, it is known that performance is substantially higher for TFS cues derived from a broadband filter than for TFS cues derived from narrow band filters that encompass the same overall frequency range (Smith et al, 2002;Swaminathan and Heinz, 2012;L eger et al, 2015). This result suggests that the processing of both narrowband TFS cues themselves as well as RENVs may play a role in the effective use of TFS components of speech, which has been suggested to contribute to robust speech perception (Swaminathan, 2010;Shamma and Lorenzi, 2013;Won et al, 2012;Won et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Consonant identification in noise using Hilbert-transform temporal fine-structure speech and recovered-envelope speech for listeners with normal and impaired hearing

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et al. 2015

The Journal of the Acoustical Society of America

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Consonant-identification ability was examined in normal-hearing (NH) and hearing-impaired (HI) listeners in the presence of steady-state and 10-Hz square-wave interrupted speech-shaped noise. The Hilbert transform was used to process speech stimuli (16 consonants in a-C-a syllables) to present envelope cues, temporal fine-structure (TFS) cues, or envelope cues recovered from TFS speech. The performance of the HI listeners was inferior to that of the NH listeners both in terms of lower levels of performance in the baseline condition and in the need for higher signal-to-noise ratio to yield a given level of performance. For NH listeners, scores were higher in interrupted noise than in steady-state noise for all speech types (indicating substantial masking release). For HI listeners, masking release was typically observed for TFS and recovered-envelope speech but not for unprocessed and envelope speech. For both groups of listeners, TFS and recovered-envelope speech yielded similar levels of performance and consonant confusion patterns. The masking release observed for TFS and recovered-envelope speech may be related to level effects associated with the manner in which the TFS processing interacts with the interrupted noise signal, rather than to the contributions of TFS cues per se.

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“…The CI does not process this FM information as such, but rather, via filtering. The frequency changing across filters converts the information to amplitude modulations (Won et al 2012; Won et al 2014b). Therefore, in CI users, the Schroeder-phase test evaluates the ability of CI users to hear rapid changes in the spatial distribution of electrical stimulation (Drennan.…”

Section: Introductionmentioning

confidence: 99%

Nonlinguistic Outcome Measures in Adult Cochlear Implant Users Over the First Year of Implantation

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Won

Timme³

et al. 2016

Ear &Amp; Hearing

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Objectives Post-lingually deaf cochlear implant users’ speech perception improves over several months after implantation due to a learning process which involves integration of the new acoustic information presented by the device. Basic tests of hearing acuity might evaluate sensitivity to the new acoustic information and be less sensitive to learning effects. It was hypothesized that, unlike speech perception, basic spectral and temporal discrimination abilities will not change over the first year of implant use. If there were limited change over time and the test scores were correlated with clinical outcome, the tests might be useful for acute diagnostic assessments of hearing ability and also useful for testing speakers of any language, many of which do not have validated speech tests. Design Ten newly implanted cochlear implant users were tested for speech understanding in quiet and in noise at 1 and 12 months post activation. Spectral-ripple discrimination, temporal-modulation detection, and Schroeder-phase discrimination abilities were evaluated at 1, 3, 6, 9 and 12 months post activation. Results Speech understanding in quiet improved between 1 and 12 months post activation (mean 8% improvement). Speech in noise performance showed no statistically significant improvement. Mean spectral-ripple discrimination thresholds and temporal-modulation detection thresholds for modulation frequencies of 100 Hz and above also showed no significant improvement. Spectral-ripple discrimination thresholds were significantly correlated with speech understanding. Low frequency modulation detection and Schroeder-phase discrimination abilities improved over the period. Individual learning trends varied, but the majority of listeners followed the same stable pattern as group data. Conclusions Spectral-ripple discrimination ability and temporal-modulation detection at 100-Hz modulation and above might serve as a useful diagnostic tool for early acute assessment of cochlear implant outcome for listeners speaking any native language.

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Use of Amplitude Modulation Cues Recovered from Frequency Modulation for Cochlear Implant Users When Original Speech Cues Are Severely Degraded

Cited by 7 publications

References 50 publications

Spectrotemporal Modulation Detection and Speech Perception by Cochlear Implant Users

Spectrotemporal Modulation Detection and Speech Perception by Cochlear Implant Users

Consonant identification in noise using Hilbert-transform temporal fine-structure speech and recovered-envelope speech for listeners with normal and impaired hearing

Nonlinguistic Outcome Measures in Adult Cochlear Implant Users Over the First Year of Implantation

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