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Record W1186537857 · doi:10.1044/arii20.2.56

Incoporating Music Perception and Enjoyment Into Aural Rehabilitation

2013· article· en· W1186537857 on OpenAlexaboutno aff
Angela C. Hancock, Allen A. Montgomery, Kimberlee A. Crass

Bibliographic record

VenuePerspectives on Aural Rehabilitation and Its Instrumentation · 2013
Typearticle
Languageen
FieldNeuroscience
TopicHearing Loss and Rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyPerceptionRehabilitationAudiologyMedicineNeuroscience

Abstract

fetched live from OpenAlex

No AccessPerspectives on Aural Rehabilitation and Its InstrumentationArticle1 Oct 2013Incoporating Music Perception and Enjoyment Into Aural Rehabilitation Angela C. Hancock, Allen A. Montgomery and Kimberlee A. Crass Angela C. Hancock Communication Sciences and Disorders, University of South Carolina, Columbia, SC Google Scholar More articles by this author , Allen A. Montgomery Communication Sciences and Disorders, University of South Carolina, Columbia, SC Google Scholar More articles by this author and Kimberlee A. Crass Communication Sciences and Disorders, University of South Carolina, Columbia, SC Google Scholar More articles by this author https://doi.org/10.1044/arii20.2.56 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationTrack Citations ShareFacebookTwitterLinked In The author recently completed a 40-year career in audiology with a primary interest in hearing aids and adult aural rehabilitation. He describes how the field of audiology has changed over this period in the areas of hearing aid selection, hearing aid fitting, hearing aid options and distribution, and adult group aural rehabilitation. Suggestions for future directions are made in each of the areas. References Advanced Bionics. (2013). HiRes Optima: Same great performance, optimized battery life. Retrieved fromhttp://advancedbionics.com/com/en/products/sound_processing/hires_optima.html Google Scholar Alexander, A. J., Bartel, L., Friesen, L., Shipp, D., & Chen, J. (2011). From fragments to the whole: A comparison between cochlear implant users and normal-hearing listeners in music perception and enjoyment.Journal of Otolaryngology, Head, and Neck Surgery, 40(1), 1–7. Google Scholar Blamey, P. J. (2005). Adaptive dynamic range optimization (ADRO): A digital amplification strategy for hearing aids and cochlear implants.Trends in Amplification, 9(2), 77–98. CrossrefGoogle Scholar Brockmeier, S. J., Fitzgerald, D., Searle, O., Fitzgerald, H., Grasmeder, M., Hilbig, S., … Arnold, W. (2011). The Mu.S.I.C. perception test: A novel battery for testing music perception of cochlear implant users.Cochlear Implants International, 12(1), 10–20. doi: 10.1179/146701010X12677899497236 Google Scholar Brockmeier, S. J., Nopp, P., Vischer, M., Baumgartner, W., Stark, T., Schoen, F., … Allum, D. J. (2002). Correlation of speech and music perception in Combi 40/40+ users.459–464). In T. Kubo, Y. Takahashi, & T. Iwaki (Eds.), Cochlear implants: An update. The Hague, The Netherlands. Kugler. Google Scholar Brockmeier, S. J., Peterreins, M., Lorens, A., Vermeire, K., Helbig, S., Anderson, I., … Kiefer, J. (2010). Music perception in electric acoustic stimulation users as assessed by the Mu.S.I.C. test.Advances in Otorhinolaryngology, 67, 70–80. Google Scholar Chasin, M., & Hockley, N. (Eds.). (2012). Music and hearing loss: Preventative and rehabilitative options [Special Issue].Trends in Amplification, 16(3). Google Scholar Chen, J. K., Chuang, A. Y., McMahon, C., Hsieh, J. C., Tung, T. H., & Li, L. P. (2010). Music training improves pitch perception in prelingually deafened children with cochlear implants.Pediatrics, 125, e793–e800. CrossrefGoogle Scholar Cochlear. (2009). Turn the music on: Quick tips for optimizing a recipient's experience with music. Retrieved fromhttp://professionals.cochlearamericas.com/sites/default/files/resources/Professional%20Quick%20Tips. pdf Google Scholar Cooper, W. B., Tobey, E., & Loizou, P. C. (2008). Music perception by cochlear implant and normal hearing listeners as measured by the Montreal Battery for Evaluation of Amusia.Ear and Hearing, 29, 618–626. CrossrefGoogle Scholar Cullington, H. E., & Zeng, F. G. (2011). Comparison of bimodal and bilateral cochlear implant users on speech recognition with competing talker, music perception, affective prosody discrimination, and talker identification.Ear and Hearing, 32(1), 16–30. CrossrefGoogle Scholar Drennan, W. R., Longnion, J. K., Ruffin, C., & Rubinstein, J. T. (2008). Discrimination of Schroeder-phase harmonic complexes by normal-hearing and cochlear-implant listeners.Journal of the Association of Research in Otolaryngology, 9(1), 138–149. Google Scholar Galvin, J. J., Fu, Q. J., & Nogaki, G. (2007). Melodic contour identification by cochlear implant users.Ear and Hearing, 28, 302–319. Google Scholar Galvin, J. J., Fu, Q. J., & Shannon, R. V. (2009). Melodic contour identification and music perception by cochlear implant users.Annals of the New York Academy of Science, 1169, 518–533. Google Scholar Gfeller, K., Christ, A., Knutson, J., Witt, S., & Mehr, M. (2003). The effects of familiarity and complexity on appraisal of complex songs by cochlear implant recipients and normal-hearing adults.Journal of Music Therapy, 40(2), 78–112. Google Scholar Gfeller, K., Christ, A., Knutson, J. F., Witt, S., Murray, K. T., & Tyler, R. S. (2000). Musical backgrounds, listening habits and aesthetic enjoyment of adult cochlear implant recipients.Journal of the American Academy of Audiology, 11, 390–406. Google Scholar Gfeller, K., Jiang, D., Oleson, J. J., Driscoll, V., Olszewski, C., Knutson, J. F., … Gantz, B. (2012). The effects of musical and linguistic components in recognition of real-world musical excerpts by cochlear implant recipients and normal-hearing adults.Journal of Music Therapy, 49(1), 68–101. CrossrefMedlineGoogle Scholar Gfeller, K., Olszewski, C., Rychener, M., Sena, K., Knutson, J. F., Witt, S., … Macpherson, B. (2005). Recognition of "real-world" musical excerpts by cochlear implant recipients and normal-hearing adults.Ear and Hearing, 26(3), 237–250. Google Scholar Gfeller, K., Olszewski, C., Turner, C., Gantz, B., & Oleson, J. (2006). Music perception with cochlear implants and residual hearing.Audiology and Neurotology, 1, 12–15. Google Scholar Gfeller, K., Witt, S., Adamek, M., Mehr, M., Rogers, J., Stordahl, J., … Ringgenberg, S. (2002). Effects of training on timbre recognition and appraisal by postlingually deafened cochlear implant recipients.Journal of the American Academy of Audiology, 13, 132–145. Google Scholar Gfeller, K., Witt, S., Stordahl, J., Mehr, M., & Woodworth, G. (2000). The effects of training on melody recognition and appraisal by adult cochlear implant recipients.Journal of the Academy of Rehabilitation Audiology, 33, 115–138. Google Scholar Gfeller, K., Witt, S., Woodworth, G., Mehr, M. A., & Knutson, J. (2002). Effects of frequency, instrumental family, and cochlear implant type on timbre recognition and appraisal.Annals of Otology, Rhinology, and Laryngology, 111(4), 349–356. Google Scholar Heng, J., Cantarero, G., Elhilali, M., & Limb, C. J. (2011). Impaired perception of temporal fine structure and musical timbre in cochlear implant users.Hearing Research, 280 (1–2), 192–200. CrossrefMedlineGoogle Scholar Kang, R., Nimmons, G. L., Drennan, W., Longnion, J., Ruffin, C., Nie, K., … Rubinstein, J. (2009). Development and validation of the University of Washington Clinical Assessment of Music Perception test.Ear and Hearing, 30(4), 411–418. CrossrefMedlineGoogle Scholar Kong, Y. Y., Cruz, R., Jones, J. A., & Zeng, F. G. (2004). Music perception with temporal cues in acoustic and electric hearing.Ear and Hearing, 25(2), 173–185. CrossrefGoogle Scholar Kong, Y. Y., Mullangi, A., Marozeau, J., & Epstein, M. (2011). Temporal and spectral cues for musical timbre perception in electric hearing.Journal of Speech, Language, and Hearing Research, 54, 981–994. LinkGoogle Scholar Leal, M. C., Shin, Y. J., Laborde, M. L., Calmels, M. N., Verges, S., Lugardon, S., … Fraysse, B. (2003). Music perception in adult cochlear implant recipients.Acta Otolaryngologica, 123, 826–835. Google Scholar Limb, C. J. (2006). Cochlear implant-mediated perception of music.Head and Neck Surgery, 14, 337–340. Google Scholar Looi, V., McDermott, H., McKay, C., & Hickson, L. (2008). Music perception of cochlear implant users compared with that of hearing aid users.Ear and Hearing, 29, 421–434. CrossrefGoogle Scholar Looi, V., Winter, P., Anderson, I., & Sucher, C. (2011). A music quality rating test battery for cochlear implant users to compare the FSP and HDCIS strategies for music appreciation.International Journal of Audiology, 50, 503–518. Google Scholar McDermott, H. J. (2004). Music perception with cochlear implants: a review.Trends in Amplification, 8(2), 49–82. CrossrefGoogle Scholar Med-El. (2006). Mu.S.I.C. perception test. Retrieved fromhttp://www.medel.com/data/downloadmanager/downloads/bridge_2013/music_user_guide/en-IN/Music_TestUser_Guide.pdf Google Scholar Med-El. (2012). Munich Music Questionnaire. Retrieved fromhttp://www.medel.com/data/downloads/BRIDGE_US/Music_Listening/MUMU_Questionnaire_EN.pdf Google Scholar Med-El. (2013). FineHearing. Retrieved fromhttp://www.medel.com/finehearing Google Scholar Moctezuma, A., & Tu, J. (2011). An overview of cochlear implant systems. Retrieved fromhttps://wiki.engr.illinois.edu/download/attachments/48137228/ECE+415+Cochlear+Implant+Final.pdf Google Scholar Nimmons, G. L., Kang, R. S., Drennan, W. R., Longnion, J., Ruffin, C., Worman, T., … Rubenstien, J. T. (2008). Clinical assessment of music perception in cochlear implant listeners.Otolology and Neurotology, 29(2), 149–155. Google Scholar Peretz, I. (2012). MBEA stimuli. Retrieved fromhttp://www.brams.umontreal.ca/plab/research Google Scholar Peretz, I., Champod, A. S., & Hyde, K. (2003). Varieties of musical disorders.Annals of the New York Academy of Sciences, 999(1), 58–75. CrossrefGoogle Scholar Roy, A. T., Jiradejvong, P., Carver, C., & Limb, C. J. (2012). Assessment of sound quality perception in cochlear implant users during music listening.Otolology and Neurotology, 33(3), 319–327. Google Scholar T. Rutherford-Johnson, M. Kennedy, & J. Kennedy (Eds.) (2012). Oxford dictionary of music. Cary, NC: Oxford University Press. Google Scholar Sadie, S. E. (1980). The new Grove dictionary of music and musicians. New York, NY: Macmillan. Google Scholar Spitzer, J. B., Mancuso, D., & Cheng, M. Y. (2008). Development of a clinical test of musical perception: Appreciation of Music in Cochlear Implantees (AMICI).Journal of the American Academy of Audiology, 19(1), 56–81. Google Scholar Veekmans, K., Ressel, L., Mueller, J., Vischer, M., & Brockmeier, S. J. (2009). Comparison of music perception in bilateral and unilateral cochlear implant users and normal-hearing subjects.Audiology and Neurotology, 14(5), 315–326. Google Scholar J. A. Westrup, & F. L. Harrison (Eds.). (1976). The new college encyclopedia of music. (Revised ed.). New York, NY: W. W. Norton and Company. Google Scholar Wright, R., & Uchanski, R. M. (2012). Music perception and appraisal: cochlear implant users and simulated cochlear implant listening.Journal of the American Academy of Audiology, 23(5), 350–365, . 379 CrossrefMedlineGoogle Scholar Additional Resources FiguresReferencesRelatedDetails Volume 20Issue 2October 2013Pages: 56-66 Get Permissions Add to your Mendeley library History Published in issue: Oct 1, 2013 Metrics Downloaded 14 times Topicsasha-topicsasha-article-typesasha-sigsCopyright & Permissions© 2013 American Speech-Language-Hearing AssociationPDF DownloadLoading ...

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.748
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.289
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2013
Admission routes1
Has abstractyes

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