Microsoft Word Tezis-Salayeva-ict

Conclusion 
In conclusion, this research has analyzed the current state of automatic speech 
recognition (ASR) models for the Uzbek language, and investigated ways to improve the 
performance of ASR models for low-resource languages such as Uzbek. The study has 
compared the performance of pre-existing ASR models for Uzbek and evaluated the 
effectiveness of various methods for creating ASR models for low-resource languages, 
including transfer learning and data augmentation techniques. Additionally, the study has 
also investigated the effectiveness of unsupervised learning algorithms for training ASR 
models on low-resource languages. 
References 
1. 
Kuriyozov, E., Matlatipov, S., Alonso, M. A., & Gómez-Rodríguez, C. (2022, June). 
Construction and evaluation of sentiment datasets for low-resource languages: The case 
of Uzbek. In Human Language Technology. Challenges for Computer Science and 
Linguistics: 9th Language and Technology Conference, LTC 2019, Poznan, Poland, May 
17–19, 2019, Revised Selected Papers
(pp. 232-243). Cham: Springer International 
Publishing.
2. 
Salaev, U., Kuriyozov, E., & Gómez-Rodríguez, C. (2022). SimRelUz: Similarity and 
relatedness scores as a semantic evaluation dataset for uzbek language. Paper 
presented at the 1st Annual Meeting of the ELRA/ISCA Special Interest Group on 
Under-Resourced Languages, SIGUL 2022 - Held in Conjunction with the International 
Conference on Language Resources and Evaluation, LREC 2022 - Proceedings, 199-
206.
3. 
Salaev, U., Kuriyozov, E., & Gómez-Rodríguez, C. (2022). A machine transliteration tool 
between uzbek alphabets. Paper presented at the CEUR Workshop Proceedings, , 3315 
42-50.
4. 
Sharipov, M., Mattiev, J., Sobirov, J., & Baltayev, R. (2022). Creating a morphological 
and syntactic tagged corpus for the Uzbek language. arXiv preprint arXiv:2210.15234.
5. Musaev, Muhammadjon & Xujayorov, Ilyos & Ochilov, Mannon. (2021). Automatic 
Recognition of Uzbek Speech Based on Integrated Neural Networks. 10.1007/978-3-
030-68004-6_28. 
6. Mukhamadiyev, A.; Khujayarov, I.; Djuraev, O.; Cho, J. Automatic Speech Recognition 
Method Based on Deep Learning Approaches for Uzbek Language. Sensors 2022, 22, 
3683. https:// doi.org/10.3390/s22103683 
7. 
Musaev, M., Khujayorov, I., & Ochilov, M. (2020, October). Development of integral 
model of speech recognition system for Uzbek language. In 2020 IEEE 14th 
International Conference on Application of Information and Communication 
Technologies (AICT)
(pp. 1-6). IEEE.
8. Musaev, M., Mussakhojayeva, S., Khujayorov, I., Khassanov, Y., Ochilov, M., & Varol, 
H. A. (2020). USC: An Open-Source Uzbek Speech Corpus and Initial Speech 
Recognition Experiments. arXiv preprint arXiv:2107.14419.