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Effectiveness of Text, Acoustic, and Lattice-Based Representations in Spoken Language Understanding Tasks.

E. Villatoro-Tello, S. Madikeri, J. Zuluaga-Gomez, B. Sharma, S. Sarfjoo, I. Nigmatulina, P. Motlícek, A. Ivanov, and A. Ganapathiraju. ICASSP, page 1-5. IEEE, (2023)

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Iuliia Polkova

Iuliia Knutova

Iuliia Thielemann

Iuliia Antcibor

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ASR for Non-standardised Languages with Dialectal Variation: the case of Swiss German.I. Nigmatulina, T. Kew, and T. Samardzic. VarDial@COLING, page 15-24. International Committee on Computational Linguistics (ICCL), (2020)A Two-Step Approach to Leverage Contextual Data: Speech Recognition in Air-Traffic Communications.I. Nigmatulina, J. Zuluaga-Gomez, A. Prasad, S. Sarfjoo, and P. Motlícek. ICASSP, page 6282-6286. IEEE, (2022)UZH TILT: A Kaldi recipe for Swiss German Speech to Standard German Text.T. Kew, I. Nigmatulina, L. Nagele, and T. Samardzic. SwissText/KONVENS, volume 2624 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Effectiveness of Text, Acoustic, and Lattice-Based Representations in Spoken Language Understanding Tasks.E. Villatoro-Tello, S. Madikeri, J. Zuluaga-Gomez, B. Sharma, S. Sarfjoo, I. Nigmatulina, P. Motlícek, A. Ivanov, and A. Ganapathiraju. ICASSP, page 1-5. IEEE, (2023)Bertraffic: Bert-Based Joint Speaker Role and Speaker Change Detection for Air Traffic Control Communications.J. Zuluaga-Gomez, S. Sarfjoo, A. Prasad, I. Nigmatulina, P. Motlícek, K. Ondrej, O. Ohneiser, and H. Helmke. SLT, page 633-640. IEEE, (2022)Contextual Biasing Methods for Improving Rare Word Detection in Automatic Speech Recognition.M. Bhattacharjee, I. Nigmatulina, A. Prasad, P. Rangappa, S. Madikeri, P. Motlícek, H. Helmke, and M. Kleinert. ICASSP, page 12652-12656. IEEE, (2024)Contextual Semi-Supervised Learning: An Approach to Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems.J. Zuluaga-Gomez, I. Nigmatulina, A. Prasad, P. Motlícek, K. Veselý, M. Kocour, and I. Szöke. Interspeech, page 3296-3300. ISCA, (2021)Probability-Aware Word-Confusion-Network-To-Text Alignment Approach for Intent Classification.E. Villatoro-Tello, S. Madikeri, B. Sharma, D. Khalil, S. Kumar, I. Nigmatulina, P. Motlícek, and A. Ganapathiraju. ICASSP, page 12617-12621. IEEE, (2024)Multitask Speech Recognition and Speaker Change Detection for Unknown Number of Speakers.S. Kumar, S. Madikeri, I. Nigmatulina, E. Villatoro-Tello, P. Motlícek, K. Pandia, S. Dubagunta, and A. Ganapathiraju. ICASSP, page 12592-12596. IEEE, (2024)How Does Pre-Trained Wav2Vec 2.0 Perform on Domain-Shifted Asr? an Extensive Benchmark on Air Traffic Control Communications.J. Zuluaga-Gomez, A. Prasad, I. Nigmatulina, S. Sarfjoo, P. Motlícek, M. Kleinert, H. Helmke, O. Ohneiser, and Q. Zhan. SLT, page 205-212. IEEE, (2022)

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Disambiguation of "Nigmatulina, Iuliia"

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Effectiveness of Text, Acoustic, and Lattice-Based Representations in Spoken Language Understanding Tasks.

Please choose a person to relate this publication to

Iuliia Polkova

Iuliia Knutova

Iuliia Thielemann

Iuliia Antcibor

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Nigmatulina, Iuliia"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Effectiveness of Text, Acoustic, and Lattice-Based Representations in Spoken Language Understanding Tasks.

Please choose a person to relate this publication to

Iuliia Polkova

Iuliia Knutova

Iuliia Thielemann

Iuliia Antcibor

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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APA
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Effectiveness of Text, Acoustic, and Lattice-Based Representations in Spoken Language Understanding Tasks.