Daniel Zakševski
Department: Image and Signal Analysis Group
Position: PhD student, Junior Researcher
Field: Informatics Engineering
Address: Akademijos st. 4, Vilnius
E-mail:
Doctoral studies
Preliminary topic: Deep learning models for speech enhancement
Supervisor: Assoc. Prof. Dr. Gintautas Tamulevičius
Study time: 2023 11 01–2027 10 31
Scientific publications
Publications with VU Institute of Data Science and Digital Technologies affiliation
Presentations at scientific conferences
- D. Zakševski, G. Tamulevičius, "Are We Able to Model the Human Auditory System in Speech Signal Enhancement?“, 15th Conference on Data Analysis Methods for Software Systems, November 28–30, 2024 Druskininkai, Lithuania
- F. Žiliajevas, J. Ramonaitė, D. Zakševski, G. Korvel, G. Tamulevičius, "Noise Dataset for Deep Learning-Based Speech Enhancement“, 15th Conference on Data Analysis Methods for Software Systems, November 28–30, 2024 Druskininkai, Lithuania
- D. Zakševski, "Integrating Detailed Auditory Models for ML-Based Speech Enhancement", 13th Young Scientists' Conference "Interdisciplinary Research in Physical Sciences and Technology", April 11th, Vilnius, Lithuania
- Korvel G., Ramonaitė J., Zakševski D., Tamulevičius G., „Šnekos signalo kokybės didinimas naudojant gilųjį mokymąsi ir triukšmo profiliavimą“, 66-oji Lietuvos Matematikų Draugijos konferencija, 2025 m. June 26–27, Klaipėda University, Klaipėda, Lithuania
Scientific projects
- Project No. S-MIP-24-38: Human Perception-Inspired Speech Enhancement: Integration of Deep Learning, Noise Profiling, and Human Auditory Knowledge (September 2nd, 2024 – August 31st, 2027, Position: Junior Researcher)
- Project No. MSF_JM_04/2025: KRAS 4A/4B izoformų sąsajų su skirtingo potipio krūties navikinių ląstelių (epi)genomais tyrimas (April 14th 2025 December 31st, 2026, Position: Junior Researcher)