Gábor Gosztolya is a senior research scientist at the Research Group on Artificial Intelligence of the Hungarian Academy of Sciences in Szeged.  He received his M.Sc. degree in Computer Science and his Ph.D. degree in Speech Recognition from the University of Szeged (Hungary). His research interests include speech recognition, computational paralinguistics, medical speech processing applications and applied machine learning.

Homepage

Google Scholar

MTMT

Selected publications

  • Gosztolya, G., Grósz, T., Tóth, L.: Social Signal Detection by Probabilistic Sampling DNN Training, IEEE Transactions on Affective Computing, Vol. 10, No. 1, pp. 164-178, 2020.
  • Gosztolya, G.: Posterior-Thresholding Feature Extraction for Paralinguistic Speech Classification, Knowledge-Based Systems, Vol. 186, article no. 104943, 2019.