Assessment of Syllable Intelligibility Based on Convolutional Neural Networks for Speech Rehabilitation After Speech Organs Surgical Interventions

Author:

Kostuchenko EvgenyORCID,Novokhrestova DariyaORCID,Pekarskikh Svetlana,Shelupanov AlexanderORCID,Nemirovich-Danchenko MikhailORCID,Choynzonov EvgenyORCID,Balatskaya LidiyaORCID

Publisher

Springer International Publishing

Reference9 articles.

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2. Nikolaev, A.: Mathematical models and software package for automatic assessment of speech signal quality. Thesis for the degree of candidate of technical sciences in the specialty “Mathematical modeling, numerical methods and program complexes”, Russia, Ekateriburg (2002)

3. Kostyuchenko, E., Novokhrestova, D., Balatskaya, L.: Evaluation of syllable intelligibility through recognition in speech rehabilitation of cancer patients. In: Schaerf, M., Mecella, M., Igorevna, D.V., Anatolievich, K.I. (eds.) Proceedings of REMS 2018 – Russian Federation & Europe Multidisciplinary Symposium on Computer Science and ICT, Stavropol, Dombay, Russia, 15–20 October 2018

4. Laaridh, I., Meunier, C., Fredouille, C.: Dysarthric speech evaluation: automatic and perceptual approaches. In: LREC 2018 - 11th International Conference on Language Resources and Evaluation, pp. 1995–2001 (2019)

5. Kostyuchenko, E., Ignatieva, D., Meshcheryakov, R., Pyatkov, A., Choynzonov, E., Balatskaya, L.: Model of system quality assessment pronouncing phonemes. In: Proceedings of 10th Dynamics of Systems, Mechanisms and Machines (Dynamics) Conference, Omsk, Russia, pp. 1–5 (2016)

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