Staff

Scientific activities

Membership in scientific organizations:

Member of the Young Academy of the Lithuanian Academy of Sciences
Member of Lithuanian Computer Society
Member of Lithuanian Mathematical Society
Member of IEEE Computer Society
Member of INSTICC (the Institute for Systems and Technologies of Information) 

Member of the SAPEA (Scientific Advice Mechanism to the European Commission) group "Successful and timely uptake of Artificial Intelligence in science in the EU". The period of work is from September 2023 to February 2024.

Leads PhD Students:

Scientific supervisor of doctoral student Justina Ramonaitė (from 2023.10.01)

Academic consultant of Krzysztof Kąkol
Dissertation defended on 12 January 2023 at Gdansk University of Technology
Topic of research „A method for improving speech intelligibility using the Lombard effect and deep learning“

Editorial Board member:

Conference organizing:

Program committee member of International Symposium on Methodologies for Intelligent Systems programos komiteto narė, ISMIS 2024, 17-19 June 2024, Poitiers / Futuroscope, France

Discussion moderator, 12th Young Scientists' Conference "Interdisciplinary Research in Physical Sciences and Technology", 14 May 2024, Lithuanian Academy of Sciences

Program committee member of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024), September 9-13, 2024, Vilnius

Session chair at the 14th International Workshop on Data Analysis Methods for Software Systems, November 30 – December 2, 2023 Druskininkai, Lithuania

Program committee member of International Symposium on Methodologies for Intelligent Systems, ISMIS 2022, 3-5 October 2022, Cosenza, Italy

Session "Multidimensional Signal Processing" chair, the 16th International Conference on Signal Processing and Multimedia, SIGMAP 2019, 26-28 July, Prague, Czech Republic

Session „Intelligent Audio Processing“ programme committee member, the 11th International Conference on Multimedia and Network Information System, 12-14 September 2018, Wrocław, Poland (https://missi.pwr.edu.pl/2018/sessions/MISSI_IAP_2018.pdf)

Teaching experience:

From 2024, lecturer in "Natural Language and Speech Processing" (Data Science, MSc)
From 2020, lecturer in "Natural Language Processing" (Information Systems Engineering and Data Science, Bachelor's degree programs)
Since 2016, compiler and consultant of the PhD study modules "Digital Signal Processing" and "Natural Language Processing". 

Reviewer of international journals:

Scientific publications

List of publications

Presentations at scientific conferences

1. Rizgelienė, I., Korvel, G. "Comparative Analysis of Various Data Balancing Techniques for Propaganda Detection in Lithuanian News Articles". 16th International Baltic Conference, Baltic DB&IS 2024, Vilnius, Lithuania, June 30 – July 3, 2024
2. Ramonaitė J., Korvel G., Wave-U-Net modelio pritaikymas šnekos signalo gerinimui triukšmingoje aplinkoje: Blockchain skaičiaus optimizavimo tyrimas ir jų įtaka šnekos signalo kokybei bei suprantamumui, 65-oji Lietuvos Matematikų Draugijos konferencija, 2024 m. birželio 27 – 28 d., Vilniaus universiteto Šiaulių akademija
3. Petkutė, D., & Korvel, G. "Draudimo sektoriaus klientų atsiliepimų ir vertinimų nuotaikų kaitos analizė laike". Mokslinė konferencija „Lietuvos magistrantų informatikos ir IT tyrimai“, 2024 m. gegužės 10 d., Lietuvos mokslų akademija
4. Kondrataitė, E., Korvel, G. "Early Detection of Rare Diseases using Natural Language Processing". Mokslinė konferencija „Lietuvos magistrantų informatikos ir IT tyrimai“, 2024 m. gegužės 10 d., Lietuvos mokslų akademija
5. Zaranka, P., & Korvel, G. "Propagandos atpažinimas lietuviškame tekste naudojant transformeriais pagrįstus, iš anksto apmokytus daugiakalbius modelius". Mokslinė konferencija „Lietuvos magistrantų informatikos ir IT tyrimai“, 2024 m. gegužės 10 d., Lietuvos mokslų akademija
6. J. Ramonaitė, P. Gore, G. Korvel, G. Tamulevičius “Investigation of Speech Signal Processing Parameters in Wave-U-Net Source Separation”, The 14th International Workshop on Data Analysis Methods for Software Systems, November 30 – December 2, 2023 Druskininkai, Lithuania
7. T. Piernicki, G. Korvel, B. Kostek “Acquiring Knowledge for Mimicking Dysarthric Speech by Incorporating Its Features into Synthetic Speech”, The 14th International Workshop on Data Analysis Methods for Software Systems, November 30 – December 2, 2023 Druskininkai, Lithuania
8. G. Navickas, G. Korvel “UniDive – Universality, Diversity and Idiosyncrasy in Language Technology”, The 14th International Workshop on Data Analysis Methods for Software Systems, November 30 – December 2, 2023 Druskininkai, Lithuania
9. J. Ramonaitė, G. Korvel, "Noisy Phoneme Recognition Using 2D Convolution Neural Network"; 10th Jubilee Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE), April 27-29, 2023, Vilnius
10. G. Korvel, A. Katsalis, K. Diamantaras, E. Lloret „Enrich Knowledge Graphs and Test Pre-trainedEnrich Knowledge Graphs and Test Pre-trainedLanguage Models in Graph2seq Tasks“, The 13th International Workshop on Data Analysis Methods for Software Systems, December 1 – 3, 2022 Druskininkai, Lithuania
11. G. Korvel, G. Tamulevičius, J. Devenson „Speech Signal Enhancement for Audio Forensics: An Initial Study“, The 13th International Workshop on Data Analysis Methods for Software Systems, December 1 – 3, 2022 Druskininkai, Lithuania
12. G. Korvel, P. Treigys, B. Kostek „Evaluation of Measures Applied to Monitor the Lombard Speech Signal
    in the Presence of Noise“, The 13th International Workshop on Data Analysis Methods for Software Systems, December 1 – 3, 2022 Druskininkai, Lithuania
13. G. Korvel, K. Kąkol, P. Treigys, B. Kostek “Investigating the influence of noise interference on speech towards a future machine learning-based system for applying the Lombard effect automatically”, ISMIS 2022 : 26th International Symposium on Methodologies for Intelligent Systems, 3-5 October, Cosenza, Italy
14. G. Korvel, K. Kąkol, P. Treigys, B. Kostek „Examining the Self-Similarity Method for the Lombard Effect Recognition", The 12th International Workshop on Data Analysis Methods for Software Systems, December 2 – 4, 2021 Druskininkai, Lithuania
15. G. Korvel, K. Kąkol, B. Kostek. “Similarity matrices applied to differentiate between Lombard and natural speech”. A lecture presentation at the 181st Meeting of the Acoustical Society of America in Seattle, November 29 – December 3, 2021, Washington
16. G. Korvel, P. Treigys, K. Kąkol, B. Kostek. "Lombardo šnekos ir jos akustinių ypatybių analizė". 20th Computer Science Scientific Conference, Computer Days – 2021, September 23-24, 2021, Klaipėda: KU, Lithuania
17. G. Korvel, P. Treigys, B. Kostek. "Akustinių parametrų panašumo matricos taikymas tarpkalbiniams fonemų skirutumams išryškinti". The 62th Conference of Lithuanian Mathematical Society, June 16–17, 2021, Vilnius: VGTU, Lithuania.
18. G. Korvel, B. Kostek „Discovering rule-based learning systems for the purpose of music analysis“, 178th Meeting of the Acoustical Society of America, 2–6 December 2019, San Diego, California
19. Tamulevičius, G. Korvel, J. Bernatavičienė, P. Treigys “The Impact of Data Augmentation Based on White Noise for Noise-Robust CNN-Based Speech Recognition” 11th International Workshop on Data Analysis Methods for Software Systems, November 28 – 30, 2019, Druskininkai, Lithuania
20. Korvel, K. Kąkol, B. Kostek “Evaluation of Lombard Speech Models in the Context of Speech Enhancement” 11th International Workshop on Data Analysis Methods for Software Systems, November 28 – 30, 2019, Druskininkai, Lithuania
21. G. Navickas, G. Korvel, J. Bernataviciene “Overview of speech synthesis using LSTM neural networks” Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the Twelfth Intern. Conf., Minsk, Sept. 18-22, 2019. – Minsk : BSU, 2019. – P. 257-261.
22. G Korvel, O Kurasova, B Kostek "An Attempt to Create Speech Synthesis Model That Retains Lombard Effect Characteristics". The 16th International Conference on Signal Processing and Multimedia Applications, SIGMAP 2019, 26-28 July, Prague, Czech Republic.
23. G. Korvel, P. Treigys, G. Tamulevičius, J. Bernatavičienė, B. Kostek "Giliojo mokymo algoritmų taikymas lietuvių šnekos atpažinimo uždaviniuose". The 60th Conference of Lithuanian Mathematical Society, June 19–20, 2019, Vilnius: LKA, Lithuania.
24.  K. Kąkol, G. Korvel, B. Kostek “Analysis of Lombard speech using parameterization and the objective quality indicators in noise conditionse”. 10th International Workshop on Data Analysis Methods for Software Systems, November 29 – December 1, 2018, Druskininkai, Lithuania
25. G. Korvel, G. Tamulevičius, P. Treigys, J. Bernatavičienė, B. Kostek “Investigating Feature Spaces for Isolated Word Recognition”. 10th International Workshop on Data Analysis Methods for Software Systems, November 29 – December 1, 2018, Druskininkai, Lithuania
26. M. Piotrowska, G. Korvel, A. Kurowski, B/ Kostek, A. Czyzewski "Machine Learning Applied to Aspirated and Non-Aspirated Allophone Classification–An Approach Based on Audio “Fingerprinting”", Audio Engineering Society Convention 145, October 17–20, 2018, New York, USA
27. G Korvel, O Kurasova, B Kostek. „Comparative Analysis of Spectral and Cepstral Feature Extraction Techniques for Phoneme Modelling“. International Conference on Multimedia and Network Informa5on System, 12-14 September 2018, Wrocław, Poland
28. M. Piotrowska, G. Korvel, B. Kostek, A. Rojczyk, A. Czyżewski "Objectivization of phonological evaluation of speech elements by means of audio parametrization", 11th International Conference on Human System Interaction (HSI), July 4-6, 2018, Gdansk, Poland
29. G. Korvel, B. Kostek "Examining feature vector for phoneme recognition",  IEEE International Symposium on Signal Processing and Information Technology, December 18-20, 2017, Bilbao, Spain
30. G. Korvel, P. Treigys, G. Tamulevičius „An Initial Investigation of Keyword Spotting using Convolutional Neural Network“, 9th International Workshop on Data Analysis Methods for Software Systems, 30 November – 2 December, 2017, Druskininkai, Lithuania
31. G. Korvel “Parameter investigation of speech signals”, The 58th Conference of Lithuanian Mathematical Society, June 26–27, 2017, Vilnius: VU, Lithuania.
32. G. Korvel “Analysis and synthesis of Lithuanian consonants”, The 8th International Workshop Data Analysis Methods for Software Systems, December 1–3, 2016, Druskininkai, Lithuania
33. G. Korvel “Developing mathematical models for speech sounds”, The 10th International Scientific Congress of Societas Humboldtiana Polonorum,  30 Juny – 2 July, 2016, Lodz, Poland
34. G. Korvel, V. Šimonytė, V. Slivinskas “Mathematical modelling of Lithuanian speech consonants”,  The 55th Conference of Lithuanian Mathematical Society, June 26–27, 2014, Vilnius: MRU, Lithuania
35. G. Korvel, V. Šimonytė, V. Slivinskas, “Random sequences analysis in excel using NUMXL” The 15th International Conference Teaching Mathematics: Retrospective and Perspectives, May 8–10, 2014, Liepaja, Latvia
36. G. Korvel, V. Šimonytė, V. Slivinskas “Using Accord.Math library for the solution of mathematical modelling tasks” ” The 15th International Conference Teaching Mathematics: Retrospective and Perspectives, May 8–10, 2014, Liepaja, Latvia
37. V. Slivinskas, G. Korvel, V. Šimonytė “Problems of Lithuanian speech synthesis”, The 5th International Workshop Data Analysis Methods for Software Systems, December 5–7, 2013, Druskininkai, Lithuania.

Scientific and other projects

The project of the Research Council of Lithuania No.S-MIP-24-38 "Human perception-inspired speech enhancement: integration of deep learning, noise profiling, and human auditory knowledge" 02.09.2024 - 31.08.2027, position: project leader

Project "Creation of the Great Lithuanian Speech Corpus (LIEPA-3)", Project Nr. 02-023-K-0001, 12.03.2024 - 30.04.2026. The project is funded by the Economic Recovery and Resilience Plan "New Generation Lithuania". Position: project leader

The project of the Research Council of Lithuania No. S-SV-24-101 "Application of natural language processing methods for identification of clinical terms in electronic records". 2024.07.01-2024.08.30, position in the project: scientific supervisor

Project "EDIH VILNIUS: accelerating green and digital transformation in Vilnius region" No. 101083844, Work carried out under an agreement with Vilnius University Hospital Santaros Klinikos, 2024.02.15 - 2024.08.23, position in the project: senior researcher

The project of the Research Council of Lithuania Nr. S-VIS-23-8 "Research on propaganda and disinformation: automatic recognition by machine learning, impact and societal resilience", 2023-09-01-2026-06-30, position: principal researcher.

COST action CA21167 "Universality, diversity and idiosyncrasy in language technology (UniDive)", 2022.09-2026.09, position: MC Member.

Postdoctoral Project “Investigating speech in the presence of noise interferences employing signal processing and machine learning methods”, 2021-07-2023.07, position: researcher.

COST action CA18231 "Multi3Generation: Multi-task, Multilingual, Multi-modal Language Generation", 2019-2023, position: MC Member.

Postdoctoral Project “Analysis and Modeling of Promises Using the Joint Additive Synthesis and Source-Filter Model Method”, 2018.12-2019.12, position: researcher.

Projects of EU Structural Funds LIEPA2, 2017.12-2020.12, position: senior researcher.

COST action CA15225 "Fractional-order systems - analysis, synthesis and their importance for future design", 2016-2020, position: MC Substitute.

Projects of EU Structural Funds LIEPA (Services Controlled by Lithuanian Voice), 2013-2015, position: project expert.

professional development

2024
ERASMUS teaching visit at Gdansk University of Technology, Poland, 28-31 October
VU Educational Competence Center 16-hour training program "Teacher-Student Interaction. Motivation for learning", from 9 to 16 April
VU Educational Competence Center 20-hour training program on "Preparation of teaching materials", from 27 February to 26 March
Erasmus staff training visit to The Progress and Business Foundation in Krakow, Poland, 19-23 February

2023

Scientific training at Gdansk University of Technology, Poland
Period: 19 June - 1 July, Advisor: Prof. dr. hab. Inż. Bożena Kostek

Short-term scientific missions (STSM) at The International Hellenic University (IHU), Greece
Period: 15-20 May, Advisor: Prof. Konstantinos I. Diamantaras

Erasmus staff training visit to the Technical University of Košice (Slovakia), February 13-17

2022

Scientific training at Gdansk University of Technology, Poland
Period: 20 June - 9 July , 31 October - 5 November
Advisor: Prof. dr. hab. Inż. Bożena Kostek

2021 m.

The 11th Lisbon Machine Learning School – LxMLS 2021, July 7–15, 2021, Lisbon, Portugal

2019

Scientific training at Gdansk University of Technology, Poland
Period: 21 May - 15 June, 8-13 September, 22-27 September
Advisor: Prof. dr. hab. Inż. Bożena Kostek

2018

Scientific training at Gdansk University of Technology, Poland
Periods: 15 - 27 Januar, 15 April - 12 May, 2 - 27 October
Advisor: Prof. dr. hab. Inż. Bożena Kostek

2017

Scientific training at Gdansk University of Technology, Poland
Periods: 18 April - 18 Jun, 4-30 September, 23 October – 22 November
Advisor: Prof. dr. hab. Inż. Bożena Kostek

ERASMUS teaching visit at Gdansk University of Technology, Poland, 16-20 October
Subject field “Signal processing and sound synthesis”

2016

ERASMUS teaching visit at Gdansk University of Technology, Poland, 12-17 December
Subject field “Signal processing and sound synthesis”

2012

The 8th Joint European Summer School on Technology Enhanced Learning, May 21–25, 2012, Estoril, Portugal.

Honours and Awards

2022

Best Poster Award, 13th International Workshop on Data Analysis Methods for Software Systems,  Druskininkai, Lithuania

2019

Winner of the INFOBALT scholarship for young scientists. The presented work “Comparative analysis of Lithuanian consonant phoneme features”

Laureate of the 9rd young scientist conference “Interdisciplinary research in physical and technological sciences”, Lithuanian Academy of Sciences, Lithuania

2018

Best Poster Award, 10th International Workshop on Data Analysis Methods for Software Systems,  Druskininkai, Lithuania

2016

Certificate of Distinction for superior performance at the Young Researcher’s poster presentation, 10th International Scientific Congress of Societas Humboldtiana Polonorum, Lodz, Poland

2014

Certificate of merit for scientific work „Analysis and synthesis of Lithuanian phoneme dynamic sound models”, Lithuanian Academy of Sciences, Lithuania

2013

Diploma for the best presentation, 3rd young scientist conference “Interdisciplinary research in physical and technological sciences”, Lithuanian Academy of Sciences, Lithuania

Ph.D. Supervision

Justina Ramonaitė

• Subject:
• Period of study: 1^st October 2023–30^th September 2027
• Science field: Informatics (N 009)
• The title of Thesis: Deep learning-based speech signal enhancement
• Defended: