Temporal fine structure in cochlear implants: Preliminary speech perception results in Cantonese-speaking implant users

Schatzer, Reinhold; Krenmayr, Andreas; Au, Darren; Kals, Mathias; Zierhofer, Clemens

doi:10.3109/00016481003591731

Cited by 48 publications

(40 citation statements)

References 16 publications

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“…Therefore, transmitting more fine structure through cochlear implants to users might be an effective approach to improving pitch perception for them (e.g., Nie et al 2005). So far, however, little evidence has shown that any of the fine-structure strategies would make a dramatic improvement for lexical tone perception or music perception in cochlear implant users (e.g., Riss et al 2008Riss et al , 2009Han et al 2009;Firszt et al 2009;Schatzer et al 2010). Many studies have shown that cochlear implant users could only detect differences in pitch for frequencies up to about 300 Hz (e.g., Shannon 1983; Zeng 2002), which is much poorer than that observed in normal-hearing listeners (Carlyon and Deeks 2002).…”

Section: Implications For Cochlear Implantsmentioning

confidence: 99%

Relative Contributions of Temporal Envelope and Fine Structure Cues to Lexical Tone Recognition in Hearing-Impaired Listeners

Wang

Mannell

2011

JARO

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It has been reported that normal-hearing Chinese speakers base their lexical tone recognition on fine structure regardless of temporal envelope cues. However, a few psychoacoustic and perceptual studies have demonstrated that listeners with sensorineural hearing impairment may have an impaired ability to use fine structure information, whereas their ability to use temporal envelope information is close to normal. The purpose of this study is to investigate the relative contributions of temporal envelope and fine structure cues to lexical tone recognition in normal-hearing and hearing-impaired native Mandarin Chinese speakers. Twenty-two normal-hearing subjects and 31 subjects with various degrees of sensorineural hearing loss participated in the study. Sixteen sets of Mandarin monosyllables with four tone patterns for each were processed through a "chimeric synthesizer" in which temporal envelope from a monosyllabic word of one tone was paired with fine structure from the same monosyllable of other tones. The chimeric tokens were generated in the three channel conditions (4, 8, and 16 channels). Results showed that differences in tone responses among the three channel conditions were minor. On average, 90.9%, 70.9%, 57.5%, and 38.2% of tone responses were consistent with fine structure for normal-hearing, moderate, moderate to severe, and severely hearing-impaired groups respectively, whereas 6.8%, 21.1%, 31.4%, and 44.7% of tone responses were consistent with temporal envelope cues for the above-mentioned groups. Tone responses that were consistent neither with temporal envelope nor fine structure had averages of 2.3%, 8.0%, 11.1%, and 17.1% for the above-mentioned groups of subjects. Pure-tone average thresholds were negatively correlated with tone responses that were consistent with fine structure, but were positively correlated with tone responses that were based on the temporal envelope cues. Consistent with the idea that the spectral resolvability is responsible for fine structure coding, these results demonstrated that, as hearing loss becomes more severe, lexical tone recognition relies increasingly on temporal envelope rather than fine structure cues due to the widened auditory filters.

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Section: Implications For Cochlear Implantsmentioning

confidence: 99%

Relative Contributions of Temporal Envelope and Fine Structure Cues to Lexical Tone Recognition in Hearing-Impaired Listeners

Wang

Mannell

2011

JARO

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“…And a few words about the CI patients who use the frequency range from 70 Hz. It should be noted that a FS-4 strategy that is designed specifically for low frequency range has no advantage compared with CIS [5]. It should be emphasized that this study was conducted in the Chinese, where the expected effect of FS-4 had to be displayed more clearly.…”

Section: The Results and Their Discussionmentioning

confidence: 96%

Modeling of Cochlear Implants with Different Frequency Ranges by Means of Spectrally Deprived Speech

Sm¹

2017

JOENTR

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Basics: In the Medel cochlear implant a frequency range can be set from 70-350 Hz up to 3500-8500 Hz. It is necessary to find the best frequency range for CI speech perception. Earlier we showed that comb filtered speech (spectrally deprived speech) can be used in modeling of CI speech perception. We carried out this study of the comb filtered speech recognition in four frequency ranges.Methodics: In our study we used five 50 Hz bands from four frequency ranges from the lower limit 70 Hz to the upper limit 8500 Hz. We used model of 5-channel implants. 9 normally hearing listeners took part in this study. Results and discussion:The best result of comb filtered words recognition was in the frequency range 250-6500 Hz, minimal recognition in the broadest frequency range. The difference was significant in accordance with the Student test (p < 0.05). The individual results of the words intelligibility in the frequency range 250-6500 Hz are in range 56-92 %/ Results of study help to audiologist in conversation with parents of CI patients.

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“…To deliver perceptible temporal cues to CI users, Nie et al proposed to transform temporal fine structure into frequency modulation information and uses it to frequency modulate the pulse rate [28]. The Fine Structure Processing strategy bases the pulse triggering pattern in a particular channel on the zero crossings of the respective band waveform [29]. Alternatively, the F0mod [30], [31] strategy modulates channel envelopes at the input sound's to enhance temporal pitch cues.…”

Section: Improved Perception Of Music With a Harmonicmentioning

confidence: 99%

Improved Perception of Music With a Harmonic Based Algorithm for Cochlear Implants

Nie

Imennov

et al. 2013

IEEE Trans. Neural Syst. Rehabil. Eng.

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Abstract-The lack of fine structure information in conventional cochlear implant (CI) encoding strategies presumably contributes to the generally poor music perception with CIs. To improve CI users' music perception, a harmonic-single-sideband-encoder (HSSE) strategy was developed [1]-[3], which explicitly tracks the harmonics of a single musical source and transforms them into modulators conveying both amplitude and temporal fine structure cues to electrodes. To investigate its effectiveness, vocoder simulations of HSSE and the conventional continuous-interleaved-sampling (CIS) strategy were implemented. Using these vocoders, five normal-hearing subjects' melody and timbre recognition performance were evaluated: a significant benefit of HSSE to both melody (p < 0.002) and timbre (p < 0.026) recognition was found. Additionally, HSSE was acutely tested in eight CI subjects. On timbre recognition, a significant advantage of HSSE over the subjects' clinical strategy was demonstrated: the largest improvement was 35% and the mean 17% (p < 0.013). On melody recognition, two subjects showed 20% improvement with HSSE; however, the mean improvement of 7% across subjects was not significant (p > 0.090). To quantify the temporal cues delivered to the auditory nerve, the neural spike patterns evoked by HSSE and CIS for one melody stimulus were simulated using an auditory nerve model. Quantitative analysis demonstrated that HSSE can convey temporal pitch cues better than CIS. The results suggest that HSSE is a promising strategy to enhance music perception with CIs.

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Temporal fine structure in cochlear implants: Preliminary speech perception results in Cantonese-speaking implant users

Cited by 48 publications

References 16 publications

Relative Contributions of Temporal Envelope and Fine Structure Cues to Lexical Tone Recognition in Hearing-Impaired Listeners

Relative Contributions of Temporal Envelope and Fine Structure Cues to Lexical Tone Recognition in Hearing-Impaired Listeners

Modeling of Cochlear Implants with Different Frequency Ranges by Means of Spectrally Deprived Speech

Improved Perception of Music With a Harmonic Based Algorithm for Cochlear Implants

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