Skip to main content
banner image
No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
The full text of this article is not currently available.
1. Galvin, J. , Fu, Q. -J. , and Nogaki, G. (2007). “Melodic contour identification by cochlear implant listeners,” Ear Hear. 28, 302319.
2. Galvin, J. , Fu, Q. -J. , and Oba, S. (2008). “Effect of instrument timbre on melodic contour identification by cochlear implant users,” J. Acoust. Soc. Am. 124, EL189EL195.
3. Galvin, J. , Fu, Q. -J. , and Oba, S. (2009). “Effect of a competing instrument on melodic contour identification by cochlear implant users,” J. Acoust. Soc. Am. 125, EL98EL103.
4. Geurts, L. , and Wouters, J. (2004). “Better place coding of the fundamental frequency in cochlear implants,” J. Acoust. Soc. Am. 115, 844852.
5. Kasturi, K. , and Loizou, P. (2007). “Effect of filter spacing on melody recognition: Acoustic and electric hearing,” J. Acoust. Soc. Am. 122, EL29EL34.
6. Laneau, J. , Wouters, J. , and Moonen, M. (2006). “Improved music perception with explicit pitch coding in cochlear implants,” Audiol. Neurootol. 11, 3852.
7. Oxenham, A. , Bernstein, J. , and Penagos, H. (2004). “Correct tonotopic representation is necessary for complex pitch perception,” Proc. Natl. Acad. Sci. U.S.A. 101, 14211425.
8. Shannon, R. V. (1983). “Multichannel electrical stimulation of the auditory nerve in man. I. Basic psychophysics,” Hear. Res. 11, 157189.
9. Shannon, R. , Fu, Q. -J. , and Galvin, J. (2004). “The number of spectral channels required for speech recognition depends on the difficulty of the listening situation,” Acta Oto-Laryngol., Suppl. 552, 5054.
10. Vandali, A. , Whitford, L. , Plant, K. , and Clark, G. (2000). “Speech perception as a function of electrical stimulation rate: Using the Nucleus 24 cochlear implant system,” Ear Hear. 21, 608624.

Data & Media loading...


Article metrics loading...



Melodic contour identification was measured in cochlear implant (CI) and normal-hearing (NH) subjects for piano samples processed by four bandpass filters: low (310–620 Hz), middle (620–2480 Hz), high (2480–4960 Hz), and full (310–4960 Hz). NH performance was near-perfect for all filter ranges and much higher than CI performance. The best mean CI performance was with the middle frequency range; performance was much better for some CI subjects with the middle rather than the full filter. These results suggest that acoustic filtering may reduce potential mismatches between fundamental frequencies and harmonic components thereby improving CI users’ melodic pitch perception.


Full text loading...


Access Key

  • FFree Content
  • OAOpen Access Content
  • SSubscribed Content
  • TFree Trial Content
752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd