1 | Danilovaitė, Monika; Tamulevičius, Gintautas. Acoustic analysis for vocal fold assessment – challenges, trends, and opportunities // Data science in applications / editors: Gintautas Dzemyda, Jolita Bernatavičienė, Janusz Kacprzyk. Cham : Springer International Publishing, 2023. ISBN 9783031244520. eISBN 9783031244537. p. 147-166. (Studies in Computational Intelligence, ISSN 1860-949X, eISSN 1860-9503 ; vol. 1084). DOI: 10.1007/978-3-031-24453-7_8. |
2 | Danilovaitė, Monika; Tamulevičius, Gintautas. Acoustic analysis for vocal fold assessment - challenges, trends, and opportunities // DAMSS: 12th conference on data analysis methods for software systems, Druskininkai, Lithuania, December 2–4, 2021. Vilnius : Vilnius University Press, 2021. ISBN 9786090706732. eISBN 9786090706749. p. 12. (Vilnius university proceedings, eISSN 2669-0233 ; vol. 17). DOI: 10.15388/DAMSS.12.2021. |
3 | Danilovaitė, Monika. Perceptually motivated feature set for vocal folds state assessment // 2020 IEEE 8th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE), 22-24 April 2021, Vilnius. Piscataway, NJ : IEEE. eISSN 2689-7342. 2021, p. [1-4]. DOI: 10.1109/AIEEE51419.2021.9435765. |