| 1 | Zakševski, Daniel; Korvel, Gražina; Tamulevičius, Gintautas. A decoupled biophysically-inspired architecture for speech enhancement // 2025 6th international conference on Communications, Information, Electronic and Energy Systems (CIEES), 26 – 28 November, 2025, Ruse, Bulgaria : IEEE, 2025. ISBN 9798331501204. eISBN 9798331501198. p. 1-5. DOI: 10.1109/CIEES66347.2025.11300204. |
| 2 | Žiliajevas, Faustas; Ramonaitė, Justina; Zakševski, Daniel; Korvel, Gražina; Tamulevičius, Gintautas. Noise dataset for deep learning-based speech enhancement // DAMSS: 15th conference on data analysis methods for software systems, Druskininkai, Lithuania, November 28-30, 2024. Vilnius : Vilniaus universiteto leidykla, 2024. eISBN 9786090711125. p. 133. (Vilnius University Proceedings, eISSN 2669-0233 ; vol. 52). DOI: 10.15388/DAMSS.15.2024. |
| 3 | Zakševski, Daniel; Tamulevičius, Gintautas. Are we able to model the human auditory system in speech signal enhancement? // DAMSS: 15th conference on data analysis methods for software systems, Druskininkai, Lithuania, November 28-30, 2024. Vilnius : Vilniaus universiteto leidykla, 2024. eISBN 9786090711125. p. 132. (Vilnius University Proceedings, eISSN 2669-0233 ; vol. 52). DOI: 10.15388/DAMSS.15.2024. |