Comparative Analysis of Models for Neural Machine Speech-to-Text Translation for Turkic State Languages

Author:

Nurmaganbet DaurenORCID,Tukeyev UalsherORCID,Shormakova AssemORCID,Zhumanov ZhandosORCID

Publisher

Springer Nature Singapore

Reference15 articles.

1. Musaev, M., Mussakhojayeva, S., Khujayorov, I., Khassanov, Y., Ochilov, M., Varol, H.A.: USC: An Open-Source Uzbek Speech Corpus and Initial Speech Recognition Experiments (2020). arXiv preprint arXiv:2107.14419

2. Mussakhojayeva, S., Janaliyeva, A., Mirzakhmetov, A., Khassanov, Y., Varol, H.A.: KazakhTTS: an open-source Kazakh text-to-speech synthesis dataset. In: Proceedings of Interspeech 2021, pp. 2786–2790 (2021). https://doi.org/10.21437/Interspeech.2021-2124. Open-Source Kazakh Text-to-Speech Synthesis Dataset arXiv preprint arXiv:2104.08459

3. Mamyrbayev, O., Alimhan, K., Zhumazhanov, B., Turdalykyzy, T., Gusmanova, F.: End-to-End Speech Recognition in Agglutinative Languages. In: Nguyen, N.T., Jearanaitanakij, K., Selamat, A., Trawiński, B., Chittayasothorn, S. (eds.) Intelligent Information and Database Systems: 12th Asian Conference, ACIIDS 2020, Phuket, Thailand, March 23–26, 2020, Proceedings, Part II, pp. 391–401. Springer International Publishing, Cham (2020). https://doi.org/10.1007/978-3-030-42058-1_33

4. Mamyrbayev, O., Alimhan, K., Oralbekova, D., Bekarystankyzy, A., Zhumazhanov, B.: Identifying the influence of transfer learning method in developing an end-to-end automatic speech recognition system with a low data level. Eastern-Eur. J. Enterp. Technol. 1(9(115)), 84–92 (2022). https://doi.org/10.15587/1729-4061.2022.252801

5. Mamyrbayev, O.Z., Oralbekova, D.O., Alimkhan, K., Othman M., Zhumazhanov, B.: Application of a hybrid integral model for Kazakh speech recognition (in Russian). In: News of the National academy of sciences of the republic of Kazakhstan, vol. 1, № 341, pp. 58–68 (2022)

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