Effectiveness of computer-based auditory training for adult users of cochlear implants

Stacey, Paula C.; Raine, Christopher; O’Donoghue, Gerard M.; Tapper, Lynne; Twomey, Tracey; Summerfield, A. Quentin

doi:10.3109/14992020903397838

Cited by 76 publications

(86 citation statements)

References 25 publications

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“…These are important issues for cochlear-implant users because they find listening to speech in noisy environments difficult (Turner et al, 2004), and visual speech information has been shown to improve performance (Kaiser, Kirk, Lachs, & Pisoni, 2003;Grant, Walden, & Seitz, 1998). Previous research suggests that computer-based auditory training can improve speech perception amongst people with implants (Fu, Galvin, Wang, & Nogaki, 2005;Stacey et al, 2010;Ingvalson, Lee, Fiebig, & Wong, 2013), and it is also possible they would benefit from training to locate speakers in a multi-talker array.…”

Section: Discussionmentioning

confidence: 99%

Searching for a talking face: The effect of degrading the auditory signal.

Stacey¹,

Murphy²,

Sumner³

et al. 2014

Journal of Experimental Psychology: Human Perception and Perfor

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Previous research (e.g., McGurk & MacDonald, 1976) suggests that faces and voices are bound automatically, but recent evidence suggests that attention is involved in a task of searching for a talking face (Alsius & Soto-Faraco, 2011). We hypothesized that the processing demands of the stimuli may affect the amount of attentional resources required, and investigated what effect degrading the auditory stimulus had on the time taken to locate a talking face. Twenty participants were presented with between 2 and 4 faces articulating different sentences, and had to decide which of these faces matched the sentence that they heard. The results showed that in the least demanding auditory condition (clear speech in quiet), search times did not significantly increase when the number of faces increased. However, when speech was presented in background noise or was processed to simulate the information provided by a cochlear implant, search times increased as the number of faces increased. Thus, it seems that the amount of attentional resources required vary according to the processing demands of the auditory stimuli, and when processing load is increased then faces need to be individually attended to in order to complete the task. Based on these results we would expect cochlear-implant users to find the task of locating a talking face more attentionally demanding than normal hearing listeners.

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Section: Discussionmentioning

confidence: 99%

Searching for a talking face: The effect of degrading the auditory signal.

Stacey¹,

Murphy²,

Sumner³

et al. 2014

Journal of Experimental Psychology: Human Perception and Perfor

Self Cite

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“…As CI users' understanding of pitch and timbre information with their implant improves, music appreciation may also improve as the stimulation patterns become more familiar. We find it interesting that active speech training has been shown to improve CI users' speech perception even after years of experience with their device (see, e.g., , 2008Stacey et al, 2010). Given the substantial improvements in MCI performance with MCI training observed in previous studies with adult English-speaking CI users (Galvin et al, , 2012, it is possible that similar training may also improve Mandarin-speaking CI users' music perception.…”

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confidence: 92%

Benefits of Music Training in Mandarin-Speaking Pediatric Cochlear Implant Users

Galvin

Wang

et al. 2015

J Speech Lang Hear Res

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Purpose: The aims of this study were to assess young (5-to 10-year-old) Mandarin-speaking cochlear implant (CI) users' musical pitch perception and to assess the benefits of computer-based home training on performance. Method: Melodic contour identification (MCI) was used to assess musical pitch perception in 14 Mandarin-speaking pediatric CI users; the instrument timbre and the contour length were varied as experimental parameters. Six subjects received subsequent MCI training on their home computer in which auditory and visual feedback were provided. Results: MCI performance was generally poor (grand mean = 33.3% correct) and highly variable, with scores ranging from 9.3% to 98.1% correct; there was no significant effect of instrument timbre or contour length on performance ( p > .05). After 4 weeks of training, performance sharply improved. Follow-up measures that were conducted 8 weeks after training was stopped showed no significant decline in MCI performance. For the 6 trained subjects, there was a significant effect of contour length for the training and follow-up measures. Conclusion: These preliminary data suggest that although baseline MCI performance initially may be poor, training may greatly improve Mandarin-speaking pediatric CI users' melodic pitch perception.

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“…Although in the present article we focus on training using clear auditory feedback, which cannot be used to train postlingually deafened cochlear implant users, Davis and colleagues (2005) demonstrated that written feedback is as effective as auditory feedback, and the efficacy of written feedback has been demonstrated for rehabilitating recently implanted cochlear implant (CI) users (Stacey et al, 2010). The training method we choose to apply involves providing listeners with a clear instance of a word, followed by its noise-vocoded equivalent.…”

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confidence: 99%