Publications

Found 28 results
Author Keyword [ Title(Asc)] Type Year
Filters: First Letter Of Last Name is T and Author is Tóth, László  [Clear All Filters]
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Tóth L, Nagy B, Gyimóthy T, Vidács L.  2020.  Why Will My Question Be Closed? NLP-Based Pre-Submission Predictions of Question Closing Reasons on Stack Overflow Proceedings of the 42nd International Conference on Software Engineering, NIER Track (ICSE 2020). :105-108.
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Gosztolya G, Kocsor A, Tóth L, Felföldi L.  2003.  Various Robust Search Methods in a Hungarian Speech Recognition System. Acta Cybernetica. 16:229-240.
Gosztoya G, Kocsor A, Tóth L, Felföldi L.  2002.  Various Robust Search Methods in a Hungarian Speech recognition System. Conference of PhD students on Computer Sciences, Volume of Extended Abstracts. :35.
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Csapó TGábor, Al-Radhi MSalah, Németh G, Gosztolya G, Grósz T, Tóth L, Markó A.  2019.  Ultrasound-based Silent Speech Interface Built on a Continuous Vocoder. Proceedings of Interspeech. :894–898.
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Tóth L, Nagy B, Janthó D, Vidács L, Gyimóthy T.  2019.  Towards an Accurate Prediction of the Question Quality at Stack Overflow Using a Deep-Learning-Based NLP Approach. Proceedings of ICSOFT 2019, 14th International Conference on Software Technologies. :631-639.
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Tóth L, Vidács L.  2018.  Study of Various Classifiers for Identification and Classification of Non-Functional Requirements. Proceedings of the 18th International Conference on Computational Science and Its Applications (ICCSA 2018). 10964:492-503.
Tóth L, Vidács L.  2019.  Study of The Performance of Various Classifiers in Labeling Non-Functional Requirements. Information Technology and Control. 48:1-16.
Gosztolya G, Grósz T, Tóth L.  2020.  Social Signal Detection by Probabilistic Sampling DNN Training. IEEE Transactions on Affective Computing. 10:164–177.
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Tóth L, Gosztolya G.  2019.  Reducing the Inter-speaker Variance of CNN Acoustic Models Using Unsupervised Adversarial Multi-task Training. Proceedings of SPECOM. :481–490.
Paczolay D, Kocsor A, Tóth L.  2003.  Real-Time Vocal Tract Length Normalization in a Phonological Awareness Teaching System. Text, Speech and Dialogue: 6th International Conference, TSD 2003, vol. 2807. :309-314.
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Kocsor A, Tóth L, Imre B.  1999.  On the Optimal Parameters of a Sinusoidal Representation of Signals. Acta Cybernetica. 14:315-330.
Kocsor A, Tóth L, Bálint I.  1998.  On the Optimal Parameters of a Sinusoidal Representation of Signals. Conference of PhD students on Computer Sciences, Volume of Extended Abstracts. :61-63.
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Tóth L, Kocsor A, Kovács K, Felföldi L.  2003.  Nyelvészeti tudásforrások integrálási lehetõségei diszkriminatív szegmens-alapú beszédfelismerõ rendszerekbe. I. Magyar Számítógépes Nyelvészet Konferencia. :169-175.
Kocsor A, Tóth L, Paczolay D.  2001.  A Nonlinearized Discriminant Analysis and its Application to Speech Impediment Therapy. Text, Speech and Dialogue : 4th International Conference, TSD 2001, LNAI vol. 2166. :249-257.
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Vicsi K, Tóth L, Kocsor A, Gordos G, Csirik J.  2002.  MTBA - magyar nyelvû telefonbeszéd-adatbázis. Híradástechnika. LVII:35-39.
Tóth L, Nagy B, Vidács L, Gyimóthy T.  2020.  Mining Hypernyms Semantic Relations from Stack Overflow. Proceedings of the First International Workshop on Knowledge Graph for Software Engineering, KG4SE 2020 - ICSEW.
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Gosztolya G, Vincze V, Tóth L, Pákáski M, Kálmán J, Hoffmann I.  2019.  Identifying Mild Cognitive Impairment and mild Alzheimer’s disease based on spontaneous speech using ASR and linguistic features. Computer, Speech & Language. 53:181–197.
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Kovács K, Kocsor A, Tóth L.  2002.  Hungarian Speech Synthesis Using a Phase Exact HNM Approach. SOFSEM 2002: Theory and Practice of Informatics: 29th Conference on Current Trends in Theory and Practice of Informatics, LNAI vol. 2540. :181-185.
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Paczolay D, Tóth L, Kocsor A, Kerekes J.  2002.  Gépi tanulás alkalmazása egy fonológiai tudatosság-fejlesztõ rendszerben. Alkalmazott Nyelvtudomany. II:55-67.
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Kicsi A, Tóth L, Vidács L.  2018.  Exploring the Benefits of Utilizing Conceptual Information in Test-to-Code Traceability. Proceedings of the IEEE/ACM 6th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE 2018 @ ICSE).
Kicsi A, Tóth L, Vidács L.  2018.  Exploring the Benefits of Utilizing Conceptual Information in Test-to-Code Traceability. Proceedings of the IEEE/ACM 6th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE 2018 @ ICSE).
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Tóth L, Kocsor A, Kovács K.  2000.  A Discriminative Segmental Speech Model and its Application to Hungarian Number Recognition. Text, Speech and Dialogue: Third International Workshop, TSD 2000, LNAI vol. 1902. :307-313.
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Kocsor A, Tóth L, Kuba, Jr. A, Kovács K, Jelasity M, Gyimóthy T, Csirik J.  2000.  A Comparative Study of Several Feature Space Transformation and Learning Methods for Phoneme Classification. International Journal of Speech Technology. 2:263-276.
Felföldi L, Kocsor A, Tóth L.  2002.  Classifier Combination in Speech Recognition. Conference of PhD students on Computer Sciences, Volume of Extended Abstracts. :30.
Gosztolya G, Tóth L.  2019.  Calibrating DNN Posterior Probability Estimates of HMM/DNN Models to Improve Social Signal Detection From Audio Data. Proceedings of Interspeech. :515–519.

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