CAI system for testing and training discrimination ability of change in voice pitch through the cochlear implant

2004 ◽  
Vol 5 (sup1) ◽  
pp. 140-141
Author(s):  
Shizuo Hiki ◽  
Kazuya Imaizumi ◽  
Liming Yang ◽  
Masae Shiroma ◽  
Yumiko Fukuda
2004 ◽  
Vol 5 (S1) ◽  
pp. 140-141
Author(s):  
Shizuo Hiki ◽  
Kazuya Imaizumi ◽  
Liming Yang ◽  
Masae Shiroma ◽  
Yumiko Fukuda

2007 ◽  
Author(s):  
James D. Miller ◽  
Charles S. Watson ◽  
Doris J. Kistler ◽  
Frederic L. Wightman ◽  
Jill E. Preminger

2007 ◽  
Vol 122 (5) ◽  
pp. 3063 ◽  
Author(s):  
James D. Miller ◽  
Charles S. Watson ◽  
Doris J. Kistler ◽  
Frederic L. Wightman ◽  
Jill E. Preminger

2018 ◽  
Vol 39 (2) ◽  
pp. 226-237 ◽  
Author(s):  
Etienne Gaudrain ◽  
Deniz Başkent

2014 ◽  
Vol 19 (1) ◽  
pp. 45-48 ◽  
Author(s):  
Annette Schumann ◽  
Anne Hast ◽  
Ulrich Hoppe

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257568
Author(s):  
Xiao Gao ◽  
David Grayden ◽  
Mark McDonnell

Despite the development and success of cochlear implants over several decades, wide inter-subject variability in speech perception is reported. This suggests that cochlear implant user-dependent factors limit speech perception at the individual level. Clinical studies have demonstrated the importance of the number, placement, and insertion depths of electrodes on speech recognition abilities. However, these do not account for all inter-subject variability and to what extent these factors affect speech recognition abilities has not been studied. In this paper, an information theoretic method and machine learning technique are unified in a model to investigate the extent to which key factors limit cochlear implant electrode discrimination. The framework uses a neural network classifier to predict which electrode is stimulated for a given simulated activation pattern of the auditory nerve, and mutual information is then estimated between the actual stimulated electrode and predicted ones. We also investigate how and to what extent the choices of parameters affect the performance of the model. The advantages of this framework include i) electrode discrimination ability is quantified using information theory, ii) it provides a flexible framework that may be used to investigate the key factors that limit the performance of cochlear implant users, and iii) it provides insights for future modeling studies of other types of neural prostheses.


2020 ◽  
Vol 24 ◽  
pp. 233121652091610 ◽  
Author(s):  
Biao Chen ◽  
Ying Shi ◽  
Lifang Zhang ◽  
Zhiming Sun ◽  
Yongxin Li ◽  
...  

For normal-hearing (NH) listeners, monaural factors, such as voice pitch cues, may play an important role in the segregation of speech signals in multitalker environments. However, cochlear implant (CI) users experience difficulties in segregating speech signals in multitalker environments in part due to the coarse spectral resolution. The present study examined how the vocal characteristics of the target and masking talkers influence listeners’ ability to extract information from a target phrase in a multitalker environment. Speech recognition thresholds (SRTs) were measured with one, two, or four masker talkers for different combinations of target-masker vocal characteristics in 10 adult Mandarin-speaking NH listeners and 12 adult Mandarin-speaking CI users. The results showed that CI users performed significantly poorer than NH listeners in the presence of competing talkers. As the number of masker talkers increased, the mean SRTs significantly worsened from –22.0 dB to –5.2 dB for NH listeners but significantly improved from 5.9 dB to 2.8 dB for CI users. The results suggest that the flattened peaks and valleys with increased numbers of competing talkers may reduce NH listeners’ ability to use dips in the spectral and temporal envelopes that allow for “glimpses” of the target speech. However, the flattened temporal envelope of the resultant masker signals may be less disruptive to the amplitude contour of the target speech, which is important for Mandarin-speaking CI users’ lexical tone recognition. The amount of masking release was further estimated by comparing SRTs between the same-sex maskers and the different-sex maskers. There was a large amount of masking release in NH adults (12 dB) and a small but significant amount of masking release in CI adults (2 dB). These results suggest that adult CI users may significantly benefit from voice pitch differences between target and masker speech.


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