Publications

Found 14 results
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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.
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Gosztolya G.  2020.  Using the Fisher Vector Representation for Audio-based Emotion Recognition. Acta Polytechnica Hungarica. 17:7–23.
Gosztolya G.  2019.  Using the Bag-of-Audio-Word Feature Representation of ASR DNN Posteriors for Paralinguistic Classification. Proceedings of Interspeech. :2413–2417.
Gosztolya G.  2019.  Using Fisher Vector and Bag-of-Audio-Words Representations to Identify Styrian Dialects, Sleepiness, Baby & Orca Sounds. Proceedings of Interspeech. :2413–2417.
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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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.
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Gosztolya G.  2019.  Posterior-Thresholding Feature Extraction for Paralinguistic Speech Classification. Knowledge-Based Systems. 186
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Gosztolya G, Kocsor A.  2003.  Improving the Multi-stack Decoding Algorithm in a Segment-based Speech Recognizer. Proceedings of the 16th International Conference on Developments in Applied Artificial Intelligence. :744–749.
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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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.
Gosztolya G, Busa-Fekete R.  2019.  Calibrating AdaBoost for Phoneme Classification. Soft Computing. 23:115–128.
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Gosztolya G, Pintér Á, Tóth L, Grósz T, Markó A, Csapó TGábor.  2019.  Autoencoder-Based Articulatory-to-Acoustic Mapping for Ultrasound Silent Speech Interfaces. Proceedings of IJCNN.
Gosztolya G, Grósz T, Tóth L, Markó A, Csapó TGábor.  2020.  Applying DNN Adaptation to Reduce the Session Dependency of Ultrasound Tongue Imaging-based Silent Speech Interfaces. Acta Polytechnica Hungarica. 17:109–124.