Research in the Speech and Hearing 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 co-directed by Dr. Jeremy Donai, Assistant Professor, and Dr. Norman Lass, 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.
Opportunities For Students
If you are a current or prospective undergraduate or graduate student who is interested in working in the Speech and Hearing 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 or Dr. Lass regarding your research experience and interests to help determine if the Speech and Hearing 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.
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., & Halbritter, R. (Accepted). Gender identification using high-frequency
speech energy: Effects of increasing the low-frequency limit. Ear & Hearing.
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.
Donai, J.J., & Paschall, D.D. (2013). Identification of high-pass filtered vowels. In Proceedings of Meetings on Acoustics, 19, (pp. 1-6). Montreal, Canada.