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Auditory perception Laboratory

Research in the Auditory Perception Laboratory is focused on examining how listeners utilize information from the high-frequency region of the speech spectrum. Specifically, our goal is to understand the contributions of high-frequency energy in the speech signal for perceptual tasks. The lab is directed by Dr. Jeremy Donai, Associate Professor, in the Department of Communication Sciences and Disorders.

Current recent research projects have focused on the perceptual information available for gender identity within the high-frequency region (above 3.5 kHz) of naturally produced vowel signals. Also under investigation is the use of high-frequency information from naturally produced speech signals for gender recognition in noise.

lab students in lab

Opportunities For Students

If you are a current or prospective undergraduate or graduate student who is interested in working in the Auditory Perception Lab, please contact Dr. Donai.

Interested in pursuing a PhD with a concentration in speech production or speech perception? The lab currently has openings for doctoral students. Funding may be available. Please visit the  Department of Communication Sciences and Disorders website for more information on our PhD program. Because the CSD Department’s PhD program is designed to be a highly individualized experience, please contact Dr. Donai regarding your research experience and interests to help determine if the Auditory Perception Lab would be a good match for you.

The lab is equipped with MATLAB© for signal processing, data collection, and analyses. In addition, the lab also utilizes ePrime for behavioral data collection and analyses. Working in the lab will expose students to these important research tools.

Recent Publications:

*Boyd-Pratt, H. A. & Donai, J. J. (2020). The perception and use of high-frequency speech energy: Clinical and research implications. Perspectives of the ASHA Special Interest Groups: SIG 19, 5, 1347-1355.

Talkington, W. T., Donai, J. J., Kadner, A. S., Layne, M. L., Forino A., Schade, M., Ashraf, A. J., Valencia, G. N., Smith, B. D., Khoo, S. K., Gray, S. J., Lass, N., Brefczynski-Lewis, J. Engdahl, S., Graham, D., Frum, C. A., Lewis, J. W. (2020). Electrophysiological evidence of early cortical sensitivity to human conspecific mimic-voice as a distinct natural sound category. Journal of Speech, Language, and Hearing Research, 63, 3539-3559.

*Cramer, J. & Donai, J.J. (2019). Effects of signal bandwidth on listening effort in young- and middle-aged adults. International Journal of Audiology, 58(2), 116-122.

*Schwartz, J., Whyte, A., Al-Nuaimi, M., & Donai, J. J. (2018). Effects of signal bandwidth and noise on individual speaker identification, Journal of the Acoustical Society of America Express Letters, 144(5), EL447-452.

Lewis, J., Silberman, M., Donai, J. J., Frum, C., Brefczynski-Lewis, J. (2018). Hearing and orally mimicking different acoustic-semantic categories of natural sound engage distinct left hemisphere cortical regions.  Brain & Language, 183, 64-78.

Donai, J.J., & Halbritter, R. (2017). Gender identification using high-frequency speech energy: Effects of increasing the low-frequency limit. Ear & Hearing, 38(1), 65-73.

Donai, J.J., & Schwartz, J. (2016). Strategies for maximizing speech recognition performance: Adults with mild-to-moderately severe sensorineural hearing loss. EBP Briefs11(4), 1-13. (Invited)

Donai, J. J., & Jennings, M. (2016). Gaps-in-noise detection and gender recognition from noise-vocoded vowel segments: Comparing performance of active musicians to non-musicians. Journal of the Acoustical Society of America Express Letters, 139(5), EL 128-134.

Donai, J.J., Motiian, S., & Doretto, G. (2016). Automated classification of vowel category and speaker type in the high-frequency spectrum. Audiology Research, 137(6), 1-5.

Donai, J.J., & Paschall, D.D. (Accepted). Chapter 11: Ear Impressions and Earmolds (Book chapter). In,  Professional Training Workbook in Hearing Health Sciences. International Hearing Society.

Donai, J.J., & Lass, N. J. (2015). Gender identification from high-pass filtered vowel segments; The use of high-frequency energy.  Attention, Perception, and Psychophysics. 77, 2452-2462.

Donai, J.J., & Paschall, D.D. (2015). Identification of high-pass filtered male, female, and child vowels: The use of high-frequency cues.  Journal of the Acoustical Society of America, 137(4), 1971-1982.

*Senior author with student(s) as co-author