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Research Articles

Evaluation of adjustment behaviour in a semi-supervised self-adjustment fine-tuning procedure for hearing aids

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Pages 313-325 | Received 21 Apr 2022, Accepted 22 Mar 2023, Published online: 20 Apr 2023

References

  • Akkiraju, N., H. Edelsbrunner, M. Facello, P. Fu, E. P. Mucke, and C. Varela. 1995. “Alpha Shapes: Definition and Software.” In Proc. Internat. Comput. Geom. Software Workshop, Minneapolis.
  • Amlani, A. M., and E. C. Schafer. 2009. “Application of Paired-Comparison Methods to Hearing Aids.” Trends in Amplification 13 (4): 241–259. doi:10.1177/1084713809352908
  • Becker, R. A., J. M. Chambers, and A. R. Wilks. 1988. The New S Language. Pacific Grove, CA: Wadsworth & Brooks/Cole.
  • Boothroyd, A., and C. Mackersie. 2017. “A ‘Goldilocks’Approach to Hearing-Aid Self-Fitting: User Interactions.” American Journal of Audiology 26 (3S): 430–435. doi:10.1044/2017_AJA-16-0125.
  • Boothroyd, A., J. Retana, and C. L. Mackersie. 2022. “Amplification Self-Adjustment: Controls and Repeatability.” Ear and Hearing 43 (3): 808–821. doi:10.1097/AUD.0000000000001141.
  • Boymans, M., and W. A. Dreschler. 2012. “Audiologist-Driven Versus Patient-Driven Fine Tuning of Hearing Instruments.” Trends in Amplification 16 : 49–58. doi:10.1177/1084713811424884.
  • Dreschler, W. A., G. Keidser, E. Convery, and H. Dillon. 2008. “Client-Based Adjustments of Hearing Aid Gain: The Effect of Different Control Configurations.” Ear and Hearing 29 (2): 214–227. doi:10.1097/AUD.0b013e31816453a6.
  • Edelsbrunner, H., D. Kirkpatrick, and R. Seidel. 1983. “On the Shape of a Set of Points in the Plane.” IEEE Transactions on Information Theory 29 (4): 551–559. doi:10.1109/TIT.1983.1056714.
  • Forgy, E. W. 1965. “Cluster Analysis of Multivariate Data: Efficiency vs Interpretability of Classifications.” Biometrics 1965 (21): 768–769.
  • Gößwein, J. A., J. Rennies, R. Huber, T. Bruns, A. Hildebrandt, and B. Kollmeier. 2022. “Evaluation of a Semi-supervised Self-Adjustment Fine-Tuning Procedure for Hearing Aids.” International Journal of Audiology 62 (2): 159–171. doi: 10.1080/14992027.2022.2028022.
  • Hartigan, J. A., and M. A. Wong. 1979. “Algorithm AS 136: A K-Means clustering algorithm.” Applied Statistics 1979 (28): 100–108.
  • Jensen, N. S., O. Hau, J. B. B. Nielson, T. B. Nielsen, and S. V. Legarth. 2019. “Perceptual Effects of Adjusting Hearing-Aid Gain by Means of a Machine-Learning Approach Based on Individual User Preference.” Trends in Hearing 23 : 2331216519847413. doi:10.1177/2331216519847413.
  • Jenstad, L. M., D. J. van Tasell, and C. Ewert. 2003. “Hearing Aid Troubleshooting Based on Patients’ Descriptions.” Journal of the American Academy of Audiology 14 (7): 347–360.
  • Keidser, G., and K. Alamudi. 2013. “Real-Life Efficacy and Reliability of Training a Hearing Aid.” Ear and Hearing 34 (5): 619–629. doi:10.1097/AUD.0b013e31828d269a.
  • Keidser, G., E. Convery, and H. Dillon. 2007. “Potential Users and Perception of a Self-Adjustable and Trainable Hearing Aid: A Consumer Survey.” Hearing Review 14, 24, 26: 31–34. http://www.hearingreview.com/2007/04/potential-users-and-perception-of-a-self-adjustable-and-trainable-hearing-aid-a-consumer-survey/
  • Keidser, G., H. Dillon, L. Carter, and A. OBrien. 2012. “NAL-NL2 Empirical Adjustments.” Trends in Amplification 16 (4): 211–223. doi:10.1177/1084713812468511.
  • Keidser, G., H. Dillon, and E. Convery. 2008. “The Effect of the Base Line Response on Self-Adjustments of Hearing Aid Gain.” The Journal of the Acoustical Society of America 124 : 1668–1681. doi:10.1121/1.2951500.
  • Keidser, G., H. Dillon, M. Flax, T. Ching, and S. Brewer. 2011. “The NAL-NL2 Prescription Procedure.” Audiology Research 1 (1): e24. doi:10.4081/audiores.2011.e24.
  • Kinkel, M. 2009. “Ein neuartiges Verfahren zur "interaktiven" Hörgeräte-Anpassung.” In 12th Congress of the German Society of Audiology, Innsbruck, Austria.
  • Lloyd, S. P. 1982. “Least Squares Quantization in PCM.” IEEE Transactions on Information Theory 28:129–137. doi:10.1109/TIT.1982.1056489
  • Mackersie, C., A. Boothroyd, and A. Lithgow. 2019. “A Goldilocks Approach to Hearing Aid Self-Fitting: Ear-Canal Output and Speech Intelligibility Index.” Ear and Hearing 40 (1): 107–115. doi:10.1097/AUD.0000000000000617.
  • MacQueen, J. 1967. “Some Methods for Classification and Analysis of Multivariate Observations.” In Fifth Berkeley Symposium on Mathematical Statistics and Probability, Berkeley, California.
  • Mardia, K. V., J. T. Kent, and J. M. Bibby. 1979. Multivariate Analysis. London: Academic Press.
  • Mueller, H. G., B. W. Hornsby, and J. E. Weber. 2008. “Using Trainable Hearing Aids to Examine Real-World Preferred Gain.” Journal of the American Academy of Audiology 19 (10): 758–773. doi:10.3766/jaaa.19.10.4.
  • Nelson, P. B., T. T. Perry, M. Gregan, and D. VanTasell. 2018. “Self-Adjusted Amplification Parameters Produce Large Between-Subject Variability and Preserve Speech Intelligibility.” Trends in Hearing 22: 1–13. doi:10.1177/2331216518798264.
  • Neyer, F. J., J. Felber, and C. Gebhardt. 2012. “Entwicklung und Validierung einer Kurzskala zur Erfassung von Technikbereitschaft.” Diagnostica 58 (2): 87–99. doi:10.1026/0012-1924/a000067.
  • Plomp, R., and M. Mimpen. 1979. “Improving the Reliability of Testing the Speech Reception Threshold for Sentences.” Audiology 18 (1) : 43–52. doi:10.3109/00206097909072618
  • Rennies, J., D. Oetting, H. Baumgartner, and J. ‑E. Appell. 2016. “User-Interface Concepts for Sound Personalization in Headphones.” In Audio Engineering Society Conference: 2016 AES International Conference on Headphone Technology. http://www.aes.org/e-lib/browse.cfm?elib=18370.
  • Sabin, A. T., D. J. van Tasell, B. Rabinowitz, and S. Dhar. 2020. “Validation of a Self-Fitting Method for Over-the-Counter Hearing Aids.” Trends in Hearing 24 : 2331216519900589. doi:10.1177/2331216519900589.
  • Venables, W. N., and B. D. Ripley. 2002. Modern Applied Statistics with S. New York: Springer.
  • Wilkinson, L., A. Anand, and R. Grossman. 2006. “High-Dimensional Visual Analytics: Interactive Exploration Guided by Pairwise Views of Point Distributions.” IEEE Transactions on Visualization and Computer Graphics 12 (6): 1363–1372. doi:10.1109/TVCG.2006.94.

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