Literature DB >> 15064662

Music perception with temporal cues in acoustic and electric hearing.

Ying-Yee Kong1, Rachel Cruz, J Ackland Jones, Fan-Gang Zeng.   

Abstract

OBJECTIVE: The first specific aim of the present study is to compare the ability of normal-hearing and cochlear implant listeners to use temporal cues in three music perception tasks: tempo discrimination, rhythmic pattern identification, and melody identification. The second aim is to identify the relative contribution of temporal and spectral cues to melody recognition in acoustic and electric hearing.
DESIGN: Both normal-hearing and cochlear implant listeners participated in the experiments. Tempo discrimination was measured in a two-interval forced-choice procedure in which subjects were asked to choose the faster tempo at four standard tempo conditions (60, 80, 100, and 120 beats per minute). For rhythmic pattern identification, seven different rhythmic patterns were created and subjects were asked to read and choose the musical notation displayed on the screen that corresponded to the rhythmic pattern presented. Melody identification was evaluated with two sets of 12 familiar melodies. One set contained both rhythm and melody information (rhythm condition), whereas the other set contained only melody information (no-rhythm condition). Melody stimuli were also processed to extract the slowly varying temporal envelope from 1, 2, 4, 8, 16, 32, and 64 frequency bands, to create cochlear implant simulations. Subjects listened to a melody and had to respond by choosing one of the 12 names corresponding to the melodies displayed on a computer screen.
RESULTS: In tempo discrimination, the cochlear implant listeners performed similarly to the normal-hearing listeners with rate discrimination difference limens obtained at 4-6 beats per minute. In rhythmic pattern identification, the cochlear implant listeners performed 5-25 percentage points poorer than the normal-hearing listeners. The normal-hearing listeners achieved perfect scores in melody identification with and without the rhythmic cues. However, the cochlear implant listeners performed significantly poorer than the normal-hearing listeners in both rhythm and no-rhythm conditions. The simulation results from normal-hearing listeners showed a relatively high level of performance for all numbers of frequency bands in the rhythm condition but required as many as 32 bands in the no-rhythm condition.
CONCLUSIONS: Cochlear-implant listeners performed normally in tempo discrimination, but significantly poorer than normal-hearing listeners in rhythmic pattern identification and melody recognition. While both temporal (rhythmic) and spectral (pitch) cues contribute to melody recognition, cochlear-implant listeners mostly relied on the rhythmic cues for melody recognition. Without the rhythmic cues, high spectral resolution with as many as 32 bands was needed for melody recognition for normal-hearing listeners. This result indicates that the present cochlear implants provide sufficient spectral cues to support speech recognition in quiet, but they are not adequate to support music perception. Increasing the number of functional channels and improved encoding of the fine structure information are necessary to improve music perception for cochlear implant listeners.

Mesh:

Year:  2004        PMID: 15064662     DOI: 10.1097/01.aud.0000120365.97792.2f

Source DB:  PubMed          Journal:  Ear Hear        ISSN: 0196-0202            Impact factor:   3.570


  120 in total

1.  Melody identification for cochlear implant users and normal hearers using expanded pitch contours.

Authors:  Frank Michael Digeser; Anne Hast; Thomas Wesarg; Horst Hessel; Ulrich Hoppe
Journal:  Eur Arch Otorhinolaryngol       Date:  2011-12-23       Impact factor: 2.503

2.  Influence of pitch, timbre and timing cues on melodic contour identification with a competing masker (L).

Authors:  Meimei Zhu; Bing Chen; John J Galvin; Qian-Jie Fu
Journal:  J Acoust Soc Am       Date:  2011-12       Impact factor: 1.840

3.  Improving melody recognition in cochlear implant recipients through individualized frequency map fitting.

Authors:  Walter Di Nardo; Alessandro Scorpecci; Sara Giannantonio; Francesca Cianfrone; Gaetano Paludetti
Journal:  Eur Arch Otorhinolaryngol       Date:  2010-07-16       Impact factor: 2.503

4.  Preservation of rhythmic clocking in cochlear implant users: a study of isochronous versus anisochronous beat detection.

Authors:  Irene Kim; Eunice Yang; Patrick J Donnelly; Charles J Limb
Journal:  Trends Amplif       Date:  2010-09

Review 5.  Voice emotion perception and production in cochlear implant users.

Authors:  N T Jiam; M Caldwell; M L Deroche; M Chatterjee; C J Limb
Journal:  Hear Res       Date:  2017-01-11       Impact factor: 3.208

Review 6.  Guidelines for Best Practice in the Audiological Management of Adults with Severe and Profound Hearing Loss.

Authors:  Laura Turton; Pamela Souza; Linda Thibodeau; Louise Hickson; René Gifford; Judith Bird; Maren Stropahl; Lorraine Gailey; Bernadette Fulton; Nerina Scarinci; Katie Ekberg; Barbra Timmer
Journal:  Semin Hear       Date:  2020-12-16

7.  Performance variability on perceptual discrimination tasks in profoundly deaf adults with cochlear implants.

Authors:  Marcia J Hay-McCutcheon; Nathaniel R Peterson; David B Pisoni; Karen Iler Kirk; Xin Yang; Jason Parton
Journal:  J Commun Disord       Date:  2018-01-31       Impact factor: 2.288

8.  Simulating the effects of spread of electric excitation on musical tuning and melody identification with a cochlear implant.

Authors:  Anthony J Spahr; Leonid M Litvak; Michael F Dorman; Ashley R Bohanan; Lakshmi N Mishra
Journal:  J Speech Lang Hear Res       Date:  2008-07-29       Impact factor: 2.297

9.  MUSIC APPRECIATION AND TRAINING FOR COCHLEAR IMPLANT RECIPIENTS: A REVIEW.

Authors:  Valerie Looi; Kate Gfeller; Virginia Driscoll
Journal:  Semin Hear       Date:  2012-11-19

10.  Transfer of auditory perceptual learning with spectrally reduced speech to speech and nonspeech tasks: implications for cochlear implants.

Authors:  Jeremy L Loebach; David B Pisoni; Mario A Svirsky
Journal:  Ear Hear       Date:  2009-12       Impact factor: 3.570

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