Influence of Automatic Gain Control Parameter Settings on Speech Understanding of Cochlear Implant Users Employing the Continuous Interleaved Sampling Strategy

Stöbich, B.; Zierhofer, Clemens; Hochmair, E.

doi:10.1097/00003446-199904000-00002

Cited by 45 publications

(32 citation statements)

References 14 publications

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“…At this speech level, average speech intelligibility in noise for CI users is relatively low at 20%, according to Boyle, Nunn, and O'Connor (2013). Our results differ from the findings of Stobich, Zierhofer, and Hochmair (1999) who reported word scores between 50 and 60% for speech with a transient and different AGC configurations. However, they used only one transient at the beginning of the sentence, a ''transient-tospeech-ratio'' of 15 dB and a compression ratio of 3 or 6.…”

Section: Effects Of Transients and Need For Tnrcontrasting

confidence: 96%

“…In most CI processors, the AGC is a dual time constant AGC, with both a fast detector and a slow detector (Boyle et al 2009;Khing, Swanson, and Ambikairajah 2013;Stone et al 1999;Moore, Glasberg, and Stone 1991). Stobich, Zierhofer, and Hochmair (1999) investigated the effect of an intense transient (a ''chink'' with peak sound pressure level of 100 dB) in CI users that used a CI processor with a dual time constant AGC. The transient was spliced onto the beginning of a sentence presented at 85 dB SPL.…”

Section: Introductionmentioning

confidence: 99%

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Effects of a transient noise reduction algorithm on speech intelligibility in noise, noise tolerance and perceived annoyance in cochlear implant users

Dingemanse

Vroegop

Goedegebure

2018

International Journal of Audiology

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Objective: To evaluate the validity and efficacy of a transient noise reduction algorithm (TNR) in cochlear implant processing and the interaction of TNR with a continuous noise reduction algorithm (CNR). Design: We studied the effects of TNR and CNR on the perception of realistic sound samples with transients, using subjective ratings of annoyance, a speech-in-noise test and a noise tolerance test. Study sample: Participants were 16 experienced cochlear implant recipients wearing an Advanced Bionics Naida Q70 processor. Results: CI users rated sounds with transients as moderately annoying. Annoyance was slightly, but significantly reduced by TNR. Transients caused a large decrease in speech intelligibility in noise and a moderate decrease in noise tolerance, measured on the Acceptable Noise Level test. The TNR had no significant effect on noise tolerance or on speech intelligibility in noise. The combined application of TNR and CNR did not result in interactions. Conclusions: The TNR algorithm was effective in reducing annoyance from transient sounds, but was not able to prevent a decreasing effect of transients on speech understanding in noise and noise tolerance. TNR did not reduce the beneficial effect of CNR on speech intelligibility in noise, but no cumulated improvement was found either.

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Section: Effects Of Transients and Need For Tnrcontrasting

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Effects of a transient noise reduction algorithm on speech intelligibility in noise, noise tolerance and perceived annoyance in cochlear implant users

Dingemanse

Vroegop

Goedegebure

2018

International Journal of Audiology

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“…To have equal and well-defined microphone sensitivities in all subjects, the AGCs of the TEMPOϩ processors were set to maximum sensitivity. With this, the onset of compression is at approximately 45 dB SPL, and the compression ratio for levels exceeding this level is 1:3 (Stöbich, Zierhofer, & Hochmair, 1999). The volumes of the processors were then aligned by the subject before testing.…”

Section: Implant Fittingmentioning

confidence: 99%

Head Shadow, Squelch, and Summation Effects in Bilateral Users of the MED-EL COMBI 40/40+ Cochlear Implant

2004

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“…The front-end compressors used in cochlear implants vary considerably across different models in the speed of their response, although many can be described as medium speed compressors, somewhere between syllabic compressors and automatic volume control systems (37). Some implant systems offer compressors with different speeds as options in different programs.…”

Section: Coding In Cochlear Implantsmentioning

confidence: 99%

Coding of Sounds in the Auditory System and Its Relevance to Signal Processing and Coding in Cochlear Implants

Moore

2003

Otology & Neurotology

146

127

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Objective: To review how the properties of sounds are "coded" in the normal auditory system and to discuss the extent to which cochlear implants can and do represent these codes. Data Sources: Data are taken from published studies of the response of the cochlea and auditory nerve to simple and complex stimuli, in both the normal and the electrically stimulated ear. Review Content: The review describes: 1) the coding in the normal auditory system of overall level (which partly determines perceived loudness), spectral shape (which partly determines perceived timbre and the identity of speech sounds), periodicity (which partly determines pitch), and sound location; 2) the role of the active mechanism in the cochlea, and particularly the fast-acting compression associated with that mechanism; 3) the neural response patterns evoked by cochlear implants; and 4) how the response patterns evoked by implants differ from those observed in the normal auditory system in response to sound. A series of specific issues is then discussed, including: 1) how to compensate for the loss of cochlear compression; 2) the effective number of independent channels in a normal ear and in cochlear implantees; 3) the importance of independence of responses across neurons; 4) the stochastic nature of normal neural responses; 5) the possible role of across-channel coincidence detection; and 6) potential benefits of binaural implantation. Conclusions: Current cochlear implants do not adequately reproduce several aspects of the neural coding of sound in the normal auditory system. Improved electrode arrays and coding systems may lead to improved coding and, it is hoped, to better performance.

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Influence of Automatic Gain Control Parameter Settings on Speech Understanding of Cochlear Implant Users Employing the Continuous Interleaved Sampling Strategy

Cited by 45 publications

References 14 publications

Effects of a transient noise reduction algorithm on speech intelligibility in noise, noise tolerance and perceived annoyance in cochlear implant users

Effects of a transient noise reduction algorithm on speech intelligibility in noise, noise tolerance and perceived annoyance in cochlear implant users

Head Shadow, Squelch, and Summation Effects in Bilateral Users of the MED-EL COMBI 40/40+ Cochlear Implant

Coding of Sounds in the Auditory System and Its Relevance to Signal Processing and Coding in Cochlear Implants

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