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An Overview of Lithuanian Intonation: A Linguistic and Modelling Perspective
Volume 33, Issue 4 (2022), pp. 795–832
Pub. online: 6 December 2022      Type: Research Article      Open accessOpen Access
Received
1 May 2022
Accepted
1 November 2022
Published
6 December 2022

Abstract

Intonation is a complex suprasegmental phenomenon essential for speech processing. However, it is still largely understudied, especially in the case of under-resourced languages, such as Lithuanian. The current paper focuses on intonation in Lithuanian, a Baltic pitch-accent language with free stress and tonal variations on accented heavy syllables. Due to historical circumstances, the description and analysis of Lithuanian intonation were carried out within different theoretical frameworks and in several languages, which makes them hardly accessible to the international research community. This paper is the first attempt to gather research on Lithuanian intonation from both the Lithuanian and the Western traditions, the structuralist and generativist points of view, and the linguistic and modelling perspectives. The paper identifies issues in existing research that require special attention and proposes directions for future investigations both in linguistics and modelling.

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Biographies

Melnik-Leroy Gerda Ana
gerda.melnik@mif.vu.lt

G. A. Melnik-Leroy is a researcher at the Cognitive Computing Group at the Institute of Data Science and Digital Technologies (Vilnius University). She holds a doctoral degree in cognitive science from Ecole Normale Superieure, CNRS, EHESS (Paris), one of the world’s leading institutions in the field. Her research is mainly focused on topics in cognitive psychology and psycholinguistics, including speech processing, the mental lexicon and language acquisition. The researcher also works on practical applications of findings from cognitive psychology to other fields, such as speech technologies, operational research and educational technologies. She has won several international research grants and successfully led research projects.

Bernatavičienė Jolita

J. Bernatavičienė graduated from the Vilnius Pedagogical University, in 2004 and received MS degree in informatics. In 2008, she received the doctoral degree in computer science from Institute of Mathematics and Informatics jointly with Vilnius Gediminas Technical University. She is a senior researcher at Institute of Data Science and Digital Technologies of Vilnius University. Her research interests include data bases, data mining, neural networks, image analysis, visualization, decision support systems and Internet technologies. She supervises 2 PhD students and has written more than 60 articles, 15 of which are in CA WoS database.

Korvel Gražina

G. Korvel received the BS degree in mathematics and the MS degree in informatics from Vilnius Pedagogical University (recently Vytautas Magnus University Education Academy), Lithuania, in 2007 and 2009, respectively, and the PhD degree from the Institute of Data Science and Digital Technologies, Vilnius University, in 2013. She is currently a senior researcher with the Institute of Data Science and Digital Technologies. Her research interests include speech signal processing, natural language processing, development of mathematical models, applications of soft computing, and computational intelligence. The main scientific results have been published in more than 30 papers and discussed at more than 40 national and international conferences. Some of her works received the Diploma for the Best Presentation. She is a three-time winner of the Lithuanian Academy of Sciences Young Scientist Award. She received acknowledgment from the Prime Minister of Lithuania for her obtained scientific results, in 2013 and 2019. G. Korvel took part in 4 research projects and 3 COST actions. She is a reviewer of many scientific journals, a member of the editorial board of The Journal of Intelligent Information Systems, and has been the session organizer at international conferences.

Navickas Gediminas

G. Navickas graduated from Vilnius Gediminas Technical University: in 2000 received BS degree in engineering informatics and in 2002 MS degree in statistics. He works at the Institute of Data Science and Digital Technologies of Vilnius University. His research interests include automatic Lithuanian speech recognition, Lithuanian speech synthesis, deep neural networks, speech signal processing, speech recognition methods and algorithms, speech interface applications in different fields, robotics.

Tamulevičius Gintautas

G. Tamulevičius is a senior researcher at the Institute of Data Science and Digital Technologies (Vilnius University). His research interests include the analysis and modelling of speech signals, the digital processing of speech signals, and the applications of acoustic analysis of speech signals. Current activities include academic research, administration of the study process, and teaching students.

Treigys Povilas

P. Treigys is a professor at the Faculty of Mathematics and Informatics at Vilnius university. He is a principal researcher and the head of the Signal and Image Analysis group at Vilnius University Institute of Data Science and Digital Technologies. His interests include image analysis, detection and object feature extraction in image processing, automated image objects segmentation, optimization methods, artificial neural networks, and software engineering. Povilas Treigys is a reviewer of the journals Informatica, Sensors, Nonlinear Analysis, and The Baltic Journal of Modern Computing, recently was invited to the editorial board of the conference DAMSS (Data Analysis Methods for Software Systems). He has supervised 1 postdoctoral and 6 PhD students and written more than 70 articles, 27 of which are in CA WoS database. He was the leader of the Lithuanian work group of 2 international projects.


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Keywords
intonation stress Pitch accent intonation modelling speech recognition Lithuanian under-resourced language

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