Identifying the influence of transfer learning method in developing an end-to-end automatic speech recognition system with a low data level

Autor: Orken Mamyrbayev, Keylan Alimhan, Dina Oralbekova, Akbayan Bekarystankyzy, Bagashar Zhumazhanov

Publikováno v: Eastern-European Journal of Enterprise Technologies; Vol. 1 No. 9(115) (2022): Information and controlling system; 84-92
Eastern-European Journal of Enterprise Technologies; Том 1 № 9(115) (2022): Информационно-управляющие системы; 84-92
Eastern-European Journal of Enterprise Technologies; Том 1 № 9(115) (2022): Інформаційно-керуючі системи; 84-92

Ensuring the best quality and performance of modern speech technologies, today, is possible based on the widespread use of machine learning methods. The idea of this project is to study and implement an end-to-end system of automatic speech recogniti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa6ad074e148047ca9c22a947470791a
https://zenodo.org/record/6362732