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  1. 2022

  2. 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

  3. Анализ акустических характеристик эмоциональной речи детей 7-8 лет: пилотное исследование

    Клешнев, Е. А. & Ляксо, Е. Е., 2022.

    Research output: Contribution to conference › Paper › 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 › peer-review

  5. 2021

  6. Анализ эмоциональной речи детей 7–8 лет: пилотное исследование

    Клешнев, Е. А. & Ляксо, Е. Е., 15 Nov 2021.

    Research output: Contribution to conference › Abstract › peer-review

  7. 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 › peer-review

  8. 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 › peer-review

  9. GAN acoustic model for Kazakh speech synthesis

    Kaliyev, A., Zeno, B., Rybin, S. V., Matveev, Y. N. & Lyakso, E. E., Sep 2021, In: International Journal of Speech Technology. 24, 3, p. 729-735 7 p., 3.

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

  10. Transfer Learning Based Convolution Neural Net for Authentication and Classification of Emotions from Natural and Stimulated Speech Signals

    Kumar, M., Katyal, N., Ruban, N., Lyakso, E., Mekala A., M., Noel, J. R. A. & Richard G, M., 11 Aug 2021, In: Journal of Intelligent and Fuzzy Systems. 41, 1, p. 2013-2024 12 p.

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

  11. 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 › peer-review

  12. 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 › peer-review

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