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  1. 2022

  2. Speech Stuttering Detection and Removal Using Deep Neural Networks

    Rajput, S., Nersisson, R., Raj, A. N. J., Mary Mekala, A., Frolova, O. & Lyakso, E., 2022, Proceedings of the 11th International Conference on Computer Engineering and Networks. Liu, Q., Liu, X., Chen, B., Zhang, Y. & Peng, J. (eds.). Springer Nature, p. 443-451 9 p. (Lecture Notes in Electrical Engineering; vol. 808 LNEE).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  3. Voice Features as the Diagnostic Marker of Autism

    Lyakso, E., Frolova, O. & Matveev, Y., 2022, In: International Journal of Psychological and Behavioral Sciences . 16, 7, p. 377-382

    Research output: Contribution to journal › Article › peer-review

  4. Изучение связи между психофизиологическими характеристиками детей и сформированностью навыка чтения: норма, РАС, СД, интеллектуальные нарушения

    Ляксо, Е. Е. & Фролова, О. В., 2022, Проблемы онтолингвистики – 2022: речевой мир ребенка (универсальные механизмы и индивидуальные процессы). СПб: Издательство «ВВМ», p. 175-180

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  5. 2021

  6. Recording the Speech of Children with Atypical Development: Peculiarities and Perspectives

    Lyakso, E. E. & Frolova, O. V., 18 Oct 2021, ICMI 2021 Companion - Companion Publication of the 2021 International Conference on Multimodal Interaction. Association for Computing Machinery, p. 408-413 6 p. (ICMI 2021 Companion - Companion Publication of the 2021 International Conference on Multimodal Interaction).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  7. Automatic Recognition of the Psychoneurological State of Children: Autism Spectrum Disorders, Down Syndrome, Typical Development

    Matveev, Y., Matveev, A., Frolova, O. & Lyakso, E., Oct 2021, Speech and Computer - 23rd International Conference, SPECOM 2021, Proceedings. Karpov, A. & Potapova, R. (eds.). Springer Nature, Vol. 12997. p. 417-425 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12997 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  8. Adult recognition of the emotional state of children by speech: cross-cultural study

    Lyakso, E., Ruban, N., Frolova, O., Mekala, A. M., Grigorev, A., Raj, A. N. J. & Gorodniy, V., 30 Jun 2021, Нейронаука для медицины и психологии: XVII Международный междисциплинарный конгресс: Судак, Крым, Россия; 30 мая – 10 июня 2021 г.: Труды Конгресса. Лосева, Е. В. & Логинова, Н. А. (eds.). Москва: МАКС Пресс, p. 240 1 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  9. Voice and speech features as diagnostic symptom

    Lyakso, E., Frolova, O. & Nikolaev, A., Apr 2021, Psychological Aplications and Trends 2021 . Pracana, C. & Wang, M. (eds.). Lisboa, Portugal: InScience Press, p. 259-263

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  10. Интонационные характеристики речи детей с умственной отсталостью

    Павликова, М. И., Фролова, О. В. & Ляксо, Е. Е., Feb 2021, In: ВЕСТНИК ТОМСКОГО ГОСУДАРСТВЕННОГО УНИВЕРСИТЕТА. ФИЛОЛОГИЯ. 462, p. 31-39

    Research output: Contribution to journal › Article › peer-review

  11. Child’s Emotional Speech Classification by Human Across Two Languages

    Lyakso, E., Frolova, O., Ruban, N. & Mekala, A. M., 2021, Speech and Computer - 23rd International Conference, SPECOM 2021, Proceedings. Karpov, A. & Potapova, R. (eds.). Springer Nature, p. 384-396 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12997 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  12. 2020

  13. Facial expression: a psychophysiological study

    Lyakso, E., Frolova, O. & Matveev, Y., 1 Dec 2020, Handbook of Research on Deep Learning- Based Image Analysis Under Constrained and Unconstrained Environments. Raj, A. N. J., Vijayalakshmi, G. V. M. & Ruban, N. (eds.). 701 East Chocolate Avenue, Hershey, PA 17033, USA: IGI Global, p. 266-289 24 p. 266-289

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review

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