Laboratory of language technology
TalTech priority area
Research classification (Frascati)
Languages and literature 6.2
Head of the research group
Research group member
Doctoral students
Keyword
speech technology
phonetics
speech corpora
Overview
The Language Technology Laboratory focuseson the following topics: Speech recognition Speaker, spoken language and accentidentification Speech corpora Phonetics (Estonian language prosody andvocal system, L2 speech) Various sub-topics of natural languageprocessingOne of the important activities is the creationof speech technology applications targeted atsociety as a whole. This includes applications ofend-user speech recognition as well as the keyintegration components that are easy to integrate. Although the focus is on speech recognition in Estonian, most of the software createdin the laboratory is not specific to Estonian. Thelaboratory is a solid open source free software supporter.
Period of activity of the research group
2023
2022
2021
2020
2019
2018
2017
Related department
Teadusgrupiga seotud publikatsioonid
- Kukk, K., Alumäe, T. Improving language identification of accented speech // Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2022, 18 September-22 September. : International Speech Communication Association, 2022. p. 1288-1292 : ill.
https://doi.org/10.21437/Interspeech.2022-10455 - Malmi, A., Lippus, P., Meister, E. Spectral and temporal properties of Estonian palatalization // Journal of the International Phonetic Association (2022), p. 1-26 : ill.
https://doi.org/10.1017/S0025100321000360 - Valk, J., Alumäe, T. VOXLINGUA107 : A dataset for spoken language recognition // IEEE Spoken Language Technology Workshop. : IEEE, 2021. p. 652-658.
https://doi.org/10.1109/SLT48900.2021.9383459 - Paats, A., Alumäe, T., Meister, E., Fridolin, I. Retrospective analysis of clinical performance of an Estonian speech recognition system for radiology : effects of different acoustic and language models // Journal of digital imaging (2018) vol. 31, 5, p. 615–621 : ill.
https://doi.org/10.1007/s10278-018-0085-8 - Alumäe, T. Training speaker recognition models with recording-level labels // 2018 IEEE Workshop on Spoken Language Technology : SLT 2018 : Proceedings, December 18–21, 2018, Athens, Greece. Danvers : IEEE, 2018. p. 1066-1072.
http://doi.org/10.1109/SLT.2018.8639601 - Łańcucki, A., Chorowski, J., Sanchez, G., Marxer, R., Alumäe, T. et al. Robust training of vector quantized bottleneck models // 2020 International Joint Conference onNeural Networks (IJCNN), 19-24 July 2020, Glasgow, UK : proceedings. Danvers : IEEE, 2020. art. 163566 : 7 p.
https://doi.org/10.1109/IJCNN48605.2020.9207145 - Tena, A., Claria, F., Solsona, F., Meister, E., Povedano, M. Detection of bulbar involvement in patients with amyotrophic lateral sclerosis by machine learning voice analysis : diagnostic decision support development study // JMIR Medical Informatics (2021) vol. 9, 3, e21331, 18 p. : ill.
https://doi.org/10.2196/21331 - Olev, A., Alumäe, T. Estonian speech recognition and transcription editing service // Baltic journal of modern computing (2022) vol. 10, 3, p. 409-421.
https://doi.org/10.22364/bjmc.2022.10.3.14 - Bond, F., Morgado da Costa, L., Goodman, M.W., McCrae, J.P., Lohk, A. Some issues with building a multilingual wordnet // LREC 2020 Marseille : Twelfth International Conference on Language Resources and Evaluation, May 11-16, 2020, Marseille, France : conference proceedings. Paris : European Language Resources Association, 2020. p. 3189-3197.
http://www.lrec-conf.org/proceedings/lrec2020/LREC-2020.pdf - Leier, M., Riid, A., Alumäe, T., Reinsalu, U., Pihlak, R., Udal, A., Heinsar, R., Vainküla, S. Smart elevator with unsupervised learning for visitor profiling and personalised destination prediction // 2021 IEEE International Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) : Virtual Conference, 14-22 May 2021 : proceedings. Danvers : IEEE, 2021. p. 9-16.
https://doi.org/10.1109/CogSIMA51574.2021.9475921 - Alumäe, T., Valk, J. The TalTech systems for the short-duration speaker verification challenge 2020 // 21st Annual Conference of the International Speech Communication Association (INTERSPEECH 2020): Cognitive Intelligence for Speech Processing : Proceedings of a meeting held 25-29 October 2020, Shanghai, China. Red Hook : International Speech Communication Association, 2020. p. 746-750.
https://www.isca-speech.org/archive/interspeech_2020/alumae20_interspeech.html http://www.proceedings.com/56854.html - Paulsen, G., Tuulik, M., Lohk, A., Vainik, E. From verbal to adjectival : evaluating the lexicalization of participles in an Estonian corpus // Slovenščina 2.0 (2022) vol. 10, 1, p. 65-97.
https://doi.org/10.4312/slo2.0.2022.1.65-97 - Lohk, A., Orav, H., Vare, K., Bond, F., Vaik, R. New polysemy structures in Wordnets induced by vertical polysemy // Proceedings of the 10th Global WordNet Conference : GWC 2019, July 23–27, 2019, Wroclaw, Poland. Wroclaw : Oficyna Wydawnicza Politechniki Wroclawskiej, 2019. p. 394-403.
https://clarin-pl.eu/dspace/handle/11321/718 "scopus" - Tuulik, M., Vainik, E., Paulsen, G., Lohk, A. Kuidas ära tunda adjektiivi? Korpuskäitumise mustrite analüüs // Eesti Rakenduslingvistika Ühingu aastaraamat 2022 = Estonian papers in applied linguistics 2022. Tallinn : Eesti Keele Sihtasutus, 2022. lk. 279-302. (Eesti Rakenduslingvistika Ühingu aastaraamat ; 18).
https://doi.org/10.5128/ERYa18.16 https://www.ester.ee/record=b2033361*est - Viht, A., Lohk, A. Kvantitatiivne vaade Uue Testamendi 1630.-1730. aastate tõlgetele // Emakeele Seltsi aastaraamat (2022) vol. 67, 1, lk. 169-194.
https://doi.org/10.3176/esa67.09 - Härm, H., Alumäe, T. Abstractive summarization of broadcast news stories for Estonian // Baltic journal of modern computing (2022) vol. 10, 3, p. 511-524.
https://doi.org/10.22364/bjmc.2022.10.3.23 - Alumäe, T., Kong, J. Combining hybrid and end-to-end approaches for the OpenASR20 challenge // Interspeech 2021 : Brno, Czechia, 30 August - 3 September 2021 : Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Brno 30 August 2021 through 3 September 2021. : International Speech Communication Association, 2021. p. 1585-1589.
https://doi.org/10.21437/Interspeech.2021-1086 - Talts, S., Alumäe, T. Analyzing candidate speaking time in Estonian Parliament election debates // DHN 2020 : Digital Humanities in the Nordic Countries : proceedings of the Digital Humanities in the Nordic Countries 5th Conference : Riga, Latvia, October 21-23, 2020. Aachen : CEUR-WS.org, 2020. p. 351–363. (CEUR workshop proceedings ; 2612).
http://ceur-ws.org/Vol-2612/short22.pdf - Tavi, L., Kinnunen, T., Meister, E., Gonzalez-Hautamäki, R., Malmi, A. Articulation during voice disguise: a pilot study // Speech and Computer : 23rd International Conference, SPECOM 2021, St. Petersburg, Russia, September 27-30, 2021 : proceedings. Cham : Springer Nature Switzerland AG, 2021. p. 680-691. (Lecture notes in artificial intelligence ; 12997).
https://doi.org/10.1007/978-3-030-87802-3_61 - Meister, E., Meister, L. Developmental changes of vowel acoustics in adolescents // Interspeech 2021 : Brno, Czechia, 30 August - 3 September 2021 : Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Brno 30 August 2021 through 3 September 2021. : International Speech Communication Association, 2021. p. 1688-1692.
https://doi.org/10.21437/Interspeech.2021-1649 - Malmi, A., Lippus, P., Meister, E. Articulatory properties of Estonian palatalization by Russian L1 speakers // Eesti ja soome-ugri keeleteaduse ajakiri = Journal of Estonian and Finno-Ugric linguistics (2022) vol. 13, 2, p. 79-118 : ill.
https://doi.org/10.12697/jeful.2022.13.2.03 - Meister, E., Meister, L. Estonian elderly speech corpus - design, collection and preliminary acoustic analysis // Baltic journal of modern computing (2022) vol. 10, 3, p. 360-371.
https://doi.org/10.22364/bjmc.2022.10.3.09 - Piel, L.K., Alumäe, T. Speech-based identification of children’s gender and age with neural networks // Human Language Technologies - the Baltic Perspective : Proceedings of the Eighth International Conference, Baltic HLT 2018. Amsterdam : IOS Press, 2018. p. 104-111. (Frontiers in artificial intelligence and applications ; 307).
https://doi.org/10.3233/978-1-61499-912-6-104 - Lohk, A., Tombak, M., Vare, K. An experiment : using Google Translate and semantic mirrors to create synsets with many lexical units // Proceedings of the 9th Global WordNet Conference : GWC 2018, January 8-12, 2018, Singapore. [S.l.] : The Global Word Net Association, 2018. p. 328-332.
http://doi.org/10.1109/EmpiRE.2018.00012 - Ullah, A., Alumäe, T. Data augmentation and teacher-student training for LF-MMI based robust speech recognition // Text, Speech, and Dialogue : 21st International Conference, TSD 2018, Brno, Czech Republic, September 11-14, 2018 : proceedings. Cham : Springer International Publishing AG, 2018. p. 403-410. (Lecture notes in computer science ; 11107).
https://doi.org/10.1007/978-3-030-00794-2_43 - Meister, E., Meister, L. Production of Estonian vowels by Finnish speakers // Kõneuurimise suundi II = Aspects of speech studies II. Tartu : University of Tartu Press, 2019. p. 129–143 : ill. (Eesti ja soome-ugri keeleteaduse ajakiri = Journal of Estonian and Finno-Ugric linguistics ; vol. 10, 1).
https://doi.org/10.12697/jeful.2019.10.1.07 - Lohk, A., Ross, K. Joachim Rossihniuse ja Heinrich Stahli perikoopide võrdlus, A comparison of the pericopes of Joachim Rossihnius and Heinrich Stahl // Emakeele Seltsi aastaraamat. Tallinn : Teaduste Akadeemia Kirjastus, 2019. lk. 65–110.
https://doi.org/10.3176/esa64.03 https://kirj.ee/the-yearbook-of-the-estonian-mother-tongue-society-publications/?filter[year]=2019&filter[issue]=370&filter[publication]=2952 - Karu, M., Alumäe, T. Weakly supervised training of speaker identification models // Odyssey 2018 : The Speaker and Language Recognition Workshop, 26-29 June 2018, Les Sables d'Olonne, France : proceedings. San Francisco : International Speech Communication Association, 2018. p. 24-30 : ill.
https://www.isca-speech.org/archive/Odyssey_2018/pdfs/41.pdf - Paulsen, G., Vainik, E., Tuulik, M., Lohk, A. The lexicographer's voice : word classes in the digital era // Electronic lexicography in the 21st century: Smart lexicography : proceedings of the eLex 2019 conference. Brno : Lexical Computing CZ s.r.o., 2019. p. 319-337 : ill.
https://elex.link/elex2019/wp-content/uploads/2019/10/eLex-2019_Proceedings.pdf - Tavi, L., Alumäe, T., Werner, S. Recognition of creaky voice from emergency calls // Interspeech 2019 : 15-19 September 2019, Graz. [S.l.] : International Speech Communication Association, 2019. p. 1990-1994 : ill.
https://doi.org/10.21437/Interspeech.2019-1253 - Tavi, L., Alumäe, T., Werner, S. Recognition of creaky voice from emergency calls // INTERSPEECH 2019 : "Crossroads of speech and language" : Grac-Austria, September 15th-19th 2019. [S.l.] : International Speech Communication Association, 2019. p. 191.
https://www.isca-speech.org/archive/Interspeech_2019/booklet.pdf - Alumäe, T., Tilk, O., Ullah, A. Advanced rich transcription system for Estonian speech // Human Language Technologies - the Baltic Perspective : Proceedings of the Eighth International Conference, Baltic HLT 2018. Amsterdam : IOS Press, 2018. p. 1-8. (Frontiers in artificial intelligence and applications ; 307).
https://doi.org/10.3233/978-1-61499-912-6-1