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Gábor Gosztolya

Researcher
University of Szeged
Széchenyi Plusz RRF

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.

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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.

Publications

Optimizing class priors to improve the detection of social signals in audio data

Gábor Gosztolya
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Neural Speaker Embeddings for Ultrasound-Based Silent Speech Interfaces

Amin Honarmandi Shandiz
László Tóth
Gábor Gosztolya
Alexandra Markó
Tamás Gáspár Csapó
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Identifying Conflict Escalation and Primates by Using Ensemble X-Vectors and Fisher Vector Features

José Vicente Egas-López
Mercedes Vetráb
László Tóth
Gábor Gosztolya
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