1. 2024
  2. Automatic Speech Emotion Recognition of Younger School Age Children

    Матвеев, Ю. Н., Матвеев, А. Ю., Фролова, О. В., Ляксо, Е. Е. & Ruban, N., 30 May 2024, Artificial Intelligence and Machine Learning Based Methods and Applications. Darabant, A. S. & Borza, D-L. (eds.). Basel: MDPI AG, p. 30-48 19 p. (Mathematics).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

  3. 2023
  4. Emotional State of Children with ASD and Intellectual Disabilities: Perceptual Experiment and Automatic Recognition by Video, Audio and Text Modalities

    Ляксо, Е. Е., Фролова, О. В., Николаев, А. С., Гречаный, С. В., Матвеев, А. Ю., Матвеев, Ю. Н., Махныткина, О. В. & Ruban, N., 22 Nov 2023, Speech and Computer-25th International Conference, SPECOM 2023, Proceedings : 25th International Conference, SPECOM 2023, Dharwad, India, November 29–December 02, 2023, Proceedings. Karpov, A., Samudravijaya, K., Deepak, K. T., Hegde, R. M., Agrawal, S. S. & Prasanna, S. R. M. (eds.). Springer Nature, Vol. LNAI 14338. p. 535–549 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. LNAI 14338).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  5. A Neural Network Architecture for Children’s Audio–Visual Emotion Recognition

    Матвеев, А. Ю., Матвеев, Ю. Н., Фролова, О. В., Николаев, А. С. & Ляксо, Е. Е., 7 Nov 2023, In: Mathematics. 11, 22, 4573.

    Research output: Contribution to journalArticlepeer-review

  6. Отражение эмоционального состояния в характеристиках речи и мимике детей с расстройствами аутистического спектра.

    Ляксо, Е. Е., Фролова, О. В., Матвеев, А. Ю. & Матвеев, Ю. Н., 2023, Сборник Трудов XXXV сессии Российского акустического общества : РАО XXXV сессия. Секция Акустика речи.. Москва: Издательство ГЕОС, p. 124-129 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  7. 2022
  8. Recognition of the Emotional State of Children with Down Syndrome by Video, Audio and Text Modalities: Human and Automatic

    Lyakso, E., Frolova, O., Matveev, A., Matveev, Y., Grigorev, A., Makhnytkina, O. & Ruban, N., Nov 2022, Speech and Computer - 24th International Conference, SPECOM 2022, Proceedings: 24th International Conference, SPECOM 2022, Gurugram, India, November 14–16, 2022, Proceedings. Prasanna, S. R. M., Karpov, A., Samudravijaya, K. & Agrawal, S. S. (eds.). Springer Nature, p. 438-450 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13721 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  9. Automatic Speech Emotion Recognition of Younger School Age Children

    Matveev, Y., Matveev, A., Frolova, O., Lyakso, E. & Ruban, N., 6 Jul 2022, In: Mathematics. 10, 14, 2373.

    Research output: Contribution to journalArticlepeer-review

  10. CNN based Emotion Detection in Cross Linguistic Children speech

    Lyakso, E., Frolova, O., Ruban, N., Mekala A., M., Noel, J. R. A., Matveev, A. & Matveev, Y., 2022, Proceedings of the 24 th International Congress of Acoustics: A15 SPEECH. Gyeongju, Vol. A15. p. 8-14 ABS-0435

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  11. 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 journalArticlepeer-review

  12. 2021
  13. 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 proceedingConference contributionpeer-review

  14. 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 journalArticlepeer-review

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