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Publications

Patents

Journal Papers

Proceeding papers

  • “Ratree Wayland, Kevin Tang, Fenqi Wang, Sophia Vellozzi, Rachel Meyer & Rahul Sengupta. 2024b. Neural network-based measure of consonant lenition in Parkinson’s Disease. Proceedings of Meetings on Acoustics 52(1). 060003. http://dx.doi.org/10.1121/2.0001913“
  • “Ratree Wayland, Kevin Tang, Fenqi Wang, Sophia Vellozzi, Rachel Meyer & Rahul Sengupta. 2024a. Neural network-based measure of consonant lenition in L2 Spanish. Proceedings of Meetings on Acoustics 52(1). 060001. http://dx.doi.org/10.1121/2.0001881“
  • “Ratree Wayland, Kevin Tang, Fenqi Wang, Sophia Vellozzi & Rahul Sengupta. 2023. Measuring gradient effects of alcohol on speech with neural networks’ posterior probability of phonological features. In Radek Skarnitzl & Jan Volı́n (eds.), Proceedings of the 20th International Congress of Phonetic Sciences, Prague 2023, 863–867. Guarant International [pdf]”
  • “Ratree Wayland, Kevin Tang, Fenqi Wang, Sophia Vellozzi & Rahul Sengupta. 2023. Neural networks’ posterior probability as measure of effects of alcohol on speech. Proceedings of Meetings on Acoustics 51(1). 060001. http://dx.doi.org/10.1121/2.0001764“
  • “Ratree Wayland, Kevin Tang, Fenqi Wang, Sophia Vellozzi & Rahul Sengupta. 2022. Lenition measures: neural networks’ posterior probability vs. acoustic cues. Proceedings of Meetings on Acoustics 50(1). 060002. http://dx.doi.org/10.1121/2.0001728“

Conference presentations

  • Wayland, R., Meyer, R., Tang, K., Vellozzi, S., & Sengupta, R. (2025). Neural network–based measure of voice quality in Parkinson’s disease. A poster presented at the 188th Meeting of the Acoustical Society of America, New Orleans, LA, May 18–23, 2025.
  • Wayland, R., Meyer, R., Vellozzi, S., & Tang, K. (2025, February 16). Individual differences in L2 acquisition of Spanish voiced stop lenition (Poster presentation). Florida Psycholinguistic Meeting, Florida State University, Tallahassee, FL.
  • Wayland, R. (2024, November 2). Deep learning metrics for foreign accent. Keynote presentation at the International Seminar on Pronunciation Teaching and Phonetic Research (Chongqing, China).
  • Meyer, R., Vellozzi, S., Wayland, R., & Tang, K. (2024). Measuring second language acquisition of Spanish lenition. Oral presentation at SCiL 2024 (June 27-29, University of California Irvine, CA).
  • Vellozzi, S., Wang, F., Wayland, R., & Tang, K. (2024). Comparing the degree of lenition in Parkinson’s Disease patients (PD) and healthy control subjects. The 25th Annual Spring Undergraduate Research Symposium (April 1, UF Center for Undergraduate Research, University of Florida).
  • Wayland, R., Tang, K., Meyer, R., Vellozzi, S., & Sengupta, R. (2024). Impact of electropalatography on speech quality: A deep neural approach. Oral presentation at the 6th Florida Linguistics Yearly Meeting (April 21, 2024).
  • Wayland, R., Tang, K., Meyer, R., Vellozzi, S., & Sengupta, R. (2024). Neural network-based measure of voice quality in Parkinson’s Disease. Oral presentation at the 6th Florida Linguistics Yearly Meeting (April 21, 2024).
  • Meyer, R., Wayland, R., Tang, K., Vellozzi, S., & Sengupta, R. (2024). Measuring second language acquisition of Spanish lenition. Proceedings of the Society for Computation in Linguistics (SCiL), 297-301.
  • Wayland, R. (2023, June 6). Deep learning metrics for foreign accent. Keynote presentation at The International Symposium on Linguistics, Language Applications, and Translation Studies in the Big Data Era (City University of Hong Kong).
  • Meyer, R., Vellozzi, S., Wayland, R., & Tang, K. (2023). Variation in lenition degree in L2 Spanish: A machine learning approach. Poster presented at NWAVE 52 (November 7-9, Miami, FL).
  • Tang, K., Wayland, R., Wang, F., Vellozzi, S., & Sengupta, R. (2023, October). Quantitative acoustic versus deep learning metrics of lenition. 19th Phonetik und Phonologie im deutschsprachigen Raum (University of Bern, Switzerland).
  • Wayland, R., Tang, K., Wang, F., Vellozzi, S., Meyer, R., & Sengupta, R. (2023, December). Neural network-based measure of consonant lenition in L2 Spanish. Presented at the 185th joint meeting of ASA and the Australian Acoustical Society (December 4-8, Sydney, Australia).
  • Wayland, R., Tang, K., Wang, F., Vellozzi, S., Meyer, R., & Sengupta, R. (2023, December). Neural network-based measure of consonant lenition in Parkinson’s Disease. Presented at the 185th joint meeting of ASA and the Australian Acoustical Society (December 4-8, Sydney, Australia).
  • Tang, K., Wayland, R., Wang, F., Vellozzi, S., and Sengupta, R.,  “Quantitative acoustic versus deep learning metrics of lenition“, 19th Phonetik und Phonologie im deutschsprachigen Raum, University of Bern, Switzerland, October, 2023.
  • Meyer, R., Vellozzi, S., Wayland, R., Tang, K., and Sengupta, R., “Posterior Probability as a Measure of Lenition in L2 Spanish”, Florida Psycholinguistics Meeting, 21 October 2023, Gainesville, FL.
  • Wayland, R., Tang, K., Wang, F., Vellozzi, S., and Sengupta, R. (2023). Neural networks’ posterior probability as a measure of effects of alcohol on speech. The Journal of the Acoustical Society of America, 153(3_supplement), A293-A293.
  • Vellozzi, S. Tang, K. Wang, F. and Wayland, R., “Comparing Degree of Lenition in Parkinson’s Disease (PD) Patients vs. Healthy Control Subjects”, the UF Undergraduate Research Symposium, April 4, 2023
  • Wayland, R. Tang, K. Wang, F. Vellozzi, S. and Sengupta, R., “Measuring Gradient Effects of Alcohol on Speech with Neural Networks’ Posterior Probability of Phonological Features,” Proceedings of the 20th International Congress of Phonetic Sciences, Prague, Czech Republic 2023
  • Wayland, R. Tang, K., “Neural Networks’ Posterior Probability as Measure of Effects of Alcohol on Speech,” 184th Meeting of the Acoustical Society of America, 8-12 May 2023, Chicago, IL.
  • Jeon, Z. Jia, S. Hwang, S. Choi, J. Han, and YK. Yoon, “Smart Electropalatography thin-film flexible pressure sensor array for Linguistic and Medical Applications,” NaNoDay, 2022
  • Jeon, Z. Jia, S. Hwang, S. Choi, J. Han, and YK. Yoon, “Smart Electropalatography thin-film flexible pressure sensor array for Linguistic and Medical Applications,” Hilton Head Workshops, 2022
  • Wayland, R., Tang, K. Fang, F. Vellozzi, S. and Sengupta, R. Lenition Measures: Neural Networks’ Posterior Probability versus Acoustic Cues. A poster to be presented at the 183rd meeting of the acoustical Society of America, Dec. 5-9, 2022, Nashville, Tennessee.

Science Communication/Outreach

  • Kevin Tang. March, 2025. What’s in a slip of the tongue? using articulatory-informed AI models to understand neurological disorders, intoxication, and second language accent. Brain Awareness Week, Heinrich Heine University Düsseldorf, Germany [Part of the Brain Awareness Week organised by Pamela Villar González] [Event page]
  • Kevin Tang, Anh Kim Nguyen, Christopher Geissler & The Speech, Lexicon, and Modeling Lab. 2022. Role of linguistics in AI for social good. In Nacht der Wissenschaft. Shadowplatz, Düsseldorf. https://www.nachtderwissenschaft-duesseldorf.de/ [Event report] [Virtual booth]

Invited Talks

  • Kevin Tang. February, 2025(a). Using articulatory-informed neural network models to understand gradient phonetic variation in intoxication, neurological disorders, and second language acquisition. Sound Workshop, University of Massachusetts, USA.
  • Kevin Tang. February, 2025(b). Using articulatory-informed neural network models to understand neurological disorders, intoxication, and second language accent. Linguistics Monday Colloquia, Yale University, USA.
  • Kevin Tang. May, 2024. Navigating human behavior in health and education through the lens of natural language. Seminar, The BEHAVE lab of the Department of Social and Political Sciences, the University of Milan
  • Kevin Tang. July 2023. Computational models in Parkinson’s disease research. 32 Tagung der Computerlinguistik-Studierenden (TaCoS)
  • Kevin Tang. June, 2023. Quantifying articulatory precision and language complexity in Parkinson’s disease patients. Colloquium, the Institut für Klinische Neurowissenschaften und Medizinische Psychologie, Heinrich-Heine-University Düsseldorf
  • Kevin Tang. April, 2022. Quantifying articulatory precision with deep neural networks. Brown Bag Lunch, the Heine Center for Artificial Intelligence and Data Science, Heinrich-Heine-University Düsseldorf