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Grazina Korvel
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- affiliation: Vilnius University, Lithuania
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2020 – today
- 2024
- [j13]Maciej Blaszke, Grazina Korvel, Bozena Kostek:
Exploring Neural Networks for Musical Instrument Identification in Polyphonic Audio. IEEE Intell. Syst. 39(5): 25-36 (2024) - [c6]Ieva Rizgeliene, Grazina Korvel:
Comparative Analysis of Various Data Balancing Techniques for Propaganda Detection in Lithuanian News Articles. DB&IS 2024: 227-236 - 2023
- [j12]Grazina Korvel, Povilas Treigys, Krzysztof Kakol, Bozena Kostek:
Investigation of the Lombard effect based on a machine learning approach. Int. J. Appl. Math. Comput. Sci. 33(3) (2023) - [j11]Damian Koszewski, Thomas Görne, Grazina Korvel, Bozena Kostek:
Automatic music signal mixing system based on one-dimensional Wave-U-Net autoencoders. EURASIP J. Audio Speech Music. Process. 2023(1): 1 (2023) - [j10]Krzysztof Kakol, Grazina Korvel, Gintautas Tamulevicius, Bozena Kostek:
Detecting Lombard Speech Using Deep Learning Approach. Sensors 23(1): 315 (2023) - 2022
- [j9]Gerda Ana Melnik-Leroy, Jolita Bernataviciene, Grazina Korvel, Gediminas Navickas, Gintautas Tamulevicius, Povilas Treigys:
An Overview of Lithuanian Intonation: A Linguistic and Modelling Perspective. Informatica 33(4): 795-832 (2022) - [j8]Erkut Erdem, Menekse Kuyu, Semih Yagcioglu, Anette Frank, Letitia Parcalabescu, Barbara Plank, Andrii Babii, Oleksii Turuta, Aykut Erdem, Iacer Calixto, Elena Lloret, Elena Simona Apostol, Ciprian-Octavian Truica, Branislava Sandrih, Sanda Martincic-Ipsic, Gábor Berend, Albert Gatt, Grazina Korvel:
Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning. J. Artif. Intell. Res. 73: 1131-1207 (2022) - [c5]Grazina Korvel, Krzysztof Kakol, Povilas Treigys, Bozena Kostek:
Investigating Noise Interference on Speech Towards Applying the Lombard Effect Automatically. ISMIS 2022: 399-407 - 2020
- [j7]Grazina Korvel, Krzysztof Kakol, Olga Kurasova, Bozena Kostek:
Evaluation of Lombard Speech Models in the Context of Speech in Noise Enhancement. IEEE Access 8: 155156-155170 (2020)
2010 – 2019
- 2019
- [j6]Magdalena Piotrowska, Grazina Korvel, Bozena Kostek, Tomasz E. Ciszewski, Andrzej Czyzewski:
Machine Learning-based Analysis of English Lateral Allophones. Int. J. Appl. Math. Comput. Sci. 29(2): 393-405 (2019) - [c4]Grazina Korvel, Olga Kurasova, Bozena Kostek:
An Attempt to Create Speech Synthesis Model That Retains Lombard Effect Characteristics. ICETE (1) 2019: 286-295 - [p1]Grazina Korvel, Adam Kurowski, Bozena Kostek, Andrzej Czyzewski:
Speech Analytics Based on Machine Learning. Machine Learning Paradigms 2019: 129-157 - 2018
- [j5]Grazina Korvel, Bozena Kostek, Olga Kurasova:
Comparative Analysis of Various Transformation Techniques for Voiceless Consonants Modeling. Int. J. Comput. Commun. Control 13(5): 853-864 (2018) - [j4]Mindaugas Morkunas, Povilas Treigys, Jolita Bernataviciene, Arvydas Laurinavicius, Grazina Korvel:
Machine Learning Based Classification of Colorectal Cancer Tumour Tissue in Whole-Slide Images. Informatica 29(1): 75-90 (2018) - [c3]Magdalena Piotrowska, Grazina Korvel, Bozena Kostek, Arkadiusz Rojczyk, Andrzej Czyzewski:
Objectivization of Phonological Evaluation of Speech Elements by Means of Audio Parametrization. HSI 2018: 325-331 - [c2]Grazina Korvel, Olga Kurasova, Bozena Kostek:
Comparative Analysis of Spectral and Cepstral Feature Extraction Techniques for Phoneme Modelling. MISSI 2018: 480-489 - 2017
- [c1]Grazina Korvel, Bozena Kostek:
Examining feature vector for phoneme recognition. ISSPIT 2017: 394-398 - 2016
- [j3]Grazina Korvel, Virginija Simonyte, Vytautas Slivinskas:
A Phoneme Harmonic Generator. Inf. Technol. Control. 45(1): 7-12 (2016) - 2014
- [j2]Grazina Pyz, Virginija Simonyte, Vytautas Slivinskas:
Developing Models of Lithuanian Speech Vowels and Semivowels. Informatica 25(1): 55-72 (2014) - 2011
- [j1]Grazina Pyz, Virginija Simonyte, Vytautas Slivinskas:
Modelling of Lithuanian Speech Diphthongs. Informatica 22(3): 411-434 (2011)
Coauthor Index
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last updated on 2024-10-23 21:22 CEST by the dblp team
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