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  1. 2017

  2. Identification of the glottal wave structure with the use of the voice source signal recording method

    Евдокимова, В. В., Евграфова, К. В., Скрелин, П. А., Барабанов, А. Е. & Чукаева, Т. В., Dec 2017, 10th INTERNATIONAL WORKSHOP Models and Analysis of vocal emissions for biomedical applications. Manfredi, C. (ed.). Флоренция, Италия: Firenze University Press, p. 135-138 4 p.

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

  3. Microphone array post-filter in frequency domain for speech recognition using short-time log-spectral amplitude estimator and spectral harmonic/noise classifier

    Salishev, S., Klotchkov, I. & Barabanov, A., 1 Jan 2017, Speech and Computer (SPECOM 2017). Springer Nature, p. 525-534 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10458 LNAI).

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

  4. 2016

  5. Linear filtering with adaptive adjustment of the disturbance covariation matrices in the plant and measurement noise

    Barabanov, A. E., 2016, In: Automation and Remote Control. 77, 1, p. 21-36

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

  6. Looking Forward Approach in Cooperative Differential Games with Uncertain Stochastic Dynamics

    Petrosian, O. & Barabanov, A., 2016, In: Journal of Optimization Theory and Applications. 171, p. 1-20

    Research output: Contribution to journal › Article

  7. Phonetic aspects of high level of naturalness in speech synthesis

    Evdokimova, V., Skrelin, P., Barabanov, A. & Evgrafova, K., 2016, In: Lecture Notes in Computer Science. LNAI 9811, p. 531-538

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

  8. Precise estimation of harmonic parameter trend and modification of a speech signal

    Barabanov, A., Magerkin, V. & Vikulov, E., 2016, In: Lecture Notes in Computer Science. LNAI 9811, p. 547-554

    Research output: Contribution to journal › Article

  9. Trade-off between speed and accuracy for noise variance minimization (NVM) pitch estimation algorithm

    Barabanov, A. & Melnikov, A., 2016, In: Cybernetics and Physics. 5, 1, p. 21-35

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

  10. Trade-off between speed and accuracy for noise variance minimization (NVM) Pitch estimation algorithm

    Barabanov, A. & Melnikov, A., 2016, In: Lecture Notes in Computer Science. LNAI 9811, p. 714-721

    Research output: Contribution to journal › Article

  11. Voice Activity Detector (VAD) Based on Long-Term Mel Frequency Band Features

    Salishev, S., Barabanov, A., Kocharov, D., Skrelin, P. & Moiseev, M., 2016, In: Lecture Notes in Computer Science. 9924, p. 352-358

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

  12. Voice Activity Detector (VAD) based on long-term phonetic features

    Barabanov, A., Kocharov, D., Salishev, S., Skrelin, P. & Moiseev, M., 2016, Proceedings of the 7th Tutorial and Research Workshop on Experimental Linguistics ExLing 2016. Athens: National and Kapodistrian University of Athens, p. 33-36

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

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ID: 201411