Publications

Healy, E. W., Johnson, E. M.,Pandey, A., & Wang D. L. (2023). Progress made in the efficacy and viability of deep-learning-based noise reduction. Journal of the Acoustical Society of America, 153, 2751–2768.

Healy, E. W., Taherian, H., Johnson, E. M., & Wang D. L. (2021). A causal and talker-independent speaker separation/dereverberation deep learning algorithm: Cost associated with conversion to real-time capable operation. Journal of the Acoustical Society of America, 150, 3976-3986.

Healy, E. W., Johnson, E. M., Delfarah, M., Krishnagiri, D. S., Sevich, V. A., Taherian, H., & Wang D. L. (2021). Deep learning based speaker separation and dereverberation can generalize across different languages to improve intelligibility. Journal of the Acoustical Society of America, 150, 2526–2538.

Healy, E. W., Tan, K., Johnson, E. M., & Wang, D. L. (2021). An effectively causal deep learning algorithm to increase intelligibility in untrained noises for hearing-impaired listeners. Journal of the Acoustical Society of America, 149, 3943–3953.

Healy, E. W., Johnson, E. M., Delfarah, M., & Wang, D. L. (2020). A talker-independent deep learning algorithm to increase intelligibility for hearing-impaired listeners in reverberant competing talker conditions. Journal of the Acoustical Society of America, 147, 4106–4118.

Johnson, E. M., Morgan, S. D., & Ferguson, S. H. (2020). Does time compression decrease intelligibility for female talkers more than for male talkers? Journal of Speech, Language, and Hearing Research, 63, 1083–1092.

Healy, E. W., Delfarah, M., Johnson, E. M., & Wang, D. L. (2019).  A deep learning algorithm to increase intelligibility for hearing-impaired listeners in the presence of a competing talker and reverberation.  Journal of the Acoustical Society of America, 145, 1378–1388.

Smith, B. L., Johnson, E. M., & Hayes-Harb, R. (2019). ESL learners’ intra-speaker variability in producing American English tense and lax vowels. Journal of Second Language Pronunciation, 5, 139–164.

Zhao, Y., Wang, D. L., Johnson, E. M., & Healy, E. W. (2018).  A deep learning based segregation algorithm to increase speech intelligibility for hearing-impaired listeners in reverberant-noisy conditions.  Journal of the Acoustical Society of America, 144, 1627–1637.

Hacking, J. F., Smith, B. L., & Johnson, E. M. (2017). Utilizing electropalatography to train palatalized versus unpalatalized consonant productions by native speakers of American English learning Russian. Journal of Second Language Pronunciation, 3, 9–33.

Johnson, E. M. (2013). Spoken like a true poet: The recreation of speech in Manuel Bandeira’s Libertinagem. La Marca Hispánica, 24.

Dissertation

Johnson, E. M. (2022). Improving Speech Intelligibility Without Sacrificing Environmental Sound Recognition. Doctoral dissertation, The Ohio State University.