- Fogerty, D., Ahlstrom, J. B., & Dubno, J. R. (2023). Recognition of spectrally shaped speech in speech-modulated noise: Effects of age, spectral shape, speech level, and vocoding. JASA Express Letters, 3, 044402. https://doi.org/10.1121/10.0017772
- Edraki, A., Chan, W. Y., Fogerty, D., & Jensen, J. (2023). Modeling the effect of linguistic predictability on speech intelligibility prediction. JASA Express Letters, 3, 035207, 1-7. https://doi.org/10.1121/10.0017648
- Smith, K.G., & Fogerty, D. (2023). The effect of modality onset asynchrony and processing time on the recognition of text-supplemented speech. JASA Express Letters, 3, 025202, 1-7. https://doi.org/10.1121/10.0017215
- Edraki, A., Chan, W. Y., Jensen, J., & Fogerty, D. (2022). Spectro-temporal modulation glimpsing for speech intelligibility prediction. Hearing Research, 426, 108620. https://doi.org/10.1016/j.heares.2022.108620 [Matlab Code]
- Fogerty, D., Dubno, J. R., & Shafiro, V. (2022). Perception of interrupted speech and text: Listener and modality factors. JASA Express Letters, 2, 064402. https://doi.org/10.1121/10.0011571
- Vickery, B., Fogerty, D., & Dubno, J. R. (2022). Phonological and semantic similarity of misperceived words in babble: Effects of sentence context, age, and hearing loss. The Journal of the Acoustical Society of America, 151, 650-662. https://doi.org/10.1121/10.0009367
- Fogerty, D., Ahlstrom, J. B., & Dubno, J. R. (2021). Glimpsing keywords across sentences in noise: A microstructural analysis of acoustic, lexical, and listener factors. The Journal of the Acoustical Society of America, 150, 1979-1996. https://doi.org/10.1121/10.0006238
- Smith, K. G., & Fogerty, D. (2021). Older adult recognition error patterns when listening to interrupted speech and speech in steady-state noise. The Journal of the Acoustical Society of America, 150, 3428-3434. https://doi.org/10.1121/10.0006975
- Edraki, A., Chan, W.-Y., Jensen, J. & Fogerty, D. (2021). Speech intelligibility estimation using spectro-temporal modulation analysis. Transactions on Audio, Speech and Language Processing, 29, 210-225. https://doi.org/10.1109/TASLP.2020.3039929 [Matlab Code]
- Ehrhorn, A., Adlof, S., Fogerty, D., & Laing, S. (2020). Probing phonological processing differences in nonword repetition for children with separate or co-occurring dyslexia and developmental language disorder. Scientific Studies of Reading, 1-18. https://doi.org/10.1080/10888438.2020.1849223
- Fogerty, D., Madorskiy, R.E., Ahlstrom, J.B. & Dubno, J.R. (2020). Comparing speech recognition for listeners with normal and impaired hearing: Simulations for controlling differences in speech levels and spectral shape. Journal of Speech, Language, and Hearing Research, 63, 4289-4299. https://doi.org/10.1044/2020_JSLHR-20-00246
- Fogerty, D., Sevich, V.A., & Healy, E. W. (2020). Spectro-temporal glimpsing of speech in noise: Regularity and coherence of masking patterns reduces uncertainty and increases intelligibility. Journal of the Acoustical Society of America, 148, 1552-1566. https://doi.org/10.1121/10.0001971 [Stimuli]
- Fogerty, D., Alghamdi, A., & Chan, W-.Y. (2020). The effect of simulated room acoustic parameters on the intelligibility and perceived reverberation of monosyllabic words and sentences. Journal of the Acoustical Society of America, 147, EL396-EL402. https://doi.org/10.1121/10.0001217
- Fogerty, D., Iftikhar, I., & Madorskiy, R.E. (2020). Combining partial information from speech and text. Journal of the Acoustical Society of America, 147, EL189–EL195. https://doi.org/10.1121/10.0000748