Hillman, Robert

Recommended Protocols for Instrumental Assessment of Voice: American Speech-Language-Hearing Association Expert Panel to Develop a Protocol for Instrumental Assessment of Vocal Function

Patel, R. R., Awan, S. N., Barkmeier-Kraemer, J., Courey, M., Deliyski, D., Eadie, T., Paul, D., Švec, J. G., & Hillman, R. (2018) · American Journal of Speech-Language Pathology

Voice and Speech DisordersPhonetics and Phonology Research

Cited by 818

Toward Generalizable Machine Learning Models in Speech, Language, and Hearing Sciences: Estimating Sample Size and Reducing Overfitting

Ghasemzadeh, H., Hillman, R. E., & Mehta, D. D. (2024) · Journal of Speech, Language, and Hearing Research

Machine Learning and Data ClassificationArtificial Intelligence in Healthcare

Cited by 72

Ambulatory monitoring of Lombard-related vocal characteristics in vocally healthy female speakers

Whittico, T. H., Ortiz, A. J., Marks, K. L., Toles, L. E., Van Stan, J. H., Hillman, R. E., & Mehta, D. D. (2020) · The Journal of the Acoustical Society of America

Voice and Speech DisordersPhonetics and Phonology Research

Cited by 18

Correlating an Ambulatory Voice Measure to Electrodermal Activity in Patients with Vocal Hyperfunction

Ciccarelli, G., Mehta, D., Ortiz, A., Van Stan, J., Toles, L., Marks, K., Hillman, R., & Quatieri, T. (2019) · 2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

Voice and Speech DisordersHeart Rate Variability and Autonomic Control

Cited by 2