John Galvin, PhD

Education:

  • BA – Hampshire College, Amherst MA
  • PhD – University of Groningen, Netherlands

 

Research experience:

  • Department of Auditory Implants and Perception, House Research Institute, Los Angeles, CA: 1996-2013
  • Speech Perception Lab, University of Groningen, Netherlands: 2013-2016
  • Speech Perception and Auditory Prostheses Lab, Department of Head and Neck Surgery, David Geffen School of Medicine, UCLA, Los Angeles, CA: 2013-2017
  • House Ear Institute, Los Angeles CA: 2017-present

Dr. Galvin has contributed to many aspects of cochlear implant research. He has published widely on many topics, including basic psychophysics, speech understanding, music perception, and auditory training. With Dr. Qian-jie Fu, he helped to develop computer- and mobile-based auditory training software that allows cochlear implant patients to effectively train at home and greatly improve their speech and music perception. He has many ongoing collaborations with researchers from all over the world, including China, the Netherlands, and France.

Dr. Galvin’s research interests include perception of combined acoustic and electric hearing, music perception in cochlear implants, multi-channel measures of psychophysical abilities with electric hearing, objective measures of auditory perception with electric hearing, and adaptation to electric hearing.

Selected publications:

  • Fu QJ, Galvin JJ 3rd, Wang X. Integration of acoustic and electric hearing is better in the same ear than across ears. Sci Rep. 2017 Oct 2;7(1):12500. doi:10.1038/s41598-017-12298-3.
  • Galvin JJ 3rd, Oba S, Başkent D, Fu QJ. Modulation frequency discrimination with single and multiple channels in cochlear implant users. Hear Res. 2015 Jun;324:7-18. doi: 10.1016/j.heares.2015.02.007.
  • Crew JD, Galvin JJ 3rd, Fu QJ. Melodic contour identification and sentence recognition using sung speech. J Acoust Soc Am. 2015 Sep;138(3):EL347-51. doi:10.1121/1.4929800.
  • Galvin JJ 3rd, Oba S, Fu QJ, Başkent D. Single- and multi-channel modulation detection in cochlear implant users. PLoS One. 2014 Jun 11;9(6):e99338. doi:10.1371/journal.pone.0099338.
  • Galvin JJ 3rd, Fu QJ, Shannon RV. Melodic contour identification and music perception by cochlear implant users. Ann N Y Acad Sci. 2009 Jul;1169:518-33. doi: 10.1111/j.1749-6632.2009.04551.x.
  • Galvin JJ 3rd, Fu QJ. Influence of stimulation rate and loudness growth on modulation detection and intensity discrimination in cochlear implant users. Hear Res. 2009 Apr;250(1-2):46-54. doi:10.1016/j.heares.2009.01.009.
  • Fu QJ, Galvin JJ 3rd. Maximizing cochlear implant patients’ performance with advanced speech training procedures. Hear Res. 2008 Aug;242(1-2):198-208. doi:10.1016/j.heares.2007.11.010.
  • Galvin JJ 3rd, Fu QJ, Nogaki G. Melodic contour identification by cochlear implant listeners. Ear Hear. 2007 Jun;28(3):302-19.
  • Galvin JJ 3rd, Fu QJ. Effects of stimulation rate, mode and level on modulation detection by cochlear implant users. J Assoc Res Otolaryngol. 2005 Sep;6(3):269-79.
  • Shannon RV, Fu QJ, Galvin JJ 3rd. The number of spectral channels required for speech recognition depends on the difficulty of the listening situation. Acta Otolaryngol Suppl. 2004 May;(552):50-4.