FriML - music generation using machine learning

Скорочена інформація про документ
dc.contributor.authorKania, W.
dc.contributor.authorKłapcińska, E.
dc.contributor.authorGroblewski, M.
dc.date.accessioned2021-05-05T08:21:08Z
dc.date.available2021-05-05T08:21:08Z
dc.date.issued2021
dc.descriptionKania W. FriML - music generation using machine learning / W. Kania, E. Kłapcińska, M. Groblewski ; advisors : P. Duch, T. Jaworski // Black Sea Science 2021 : proc. of the Intern. Competition of Student Scientific Works / Odessa National Academy of Food Technologies ; eds. B. Yegorov, M. Mardar [et al.]. – Odessa: ONAFT, 2021. – P. 481–489 : tabl., fig. – Ref.: 12 tit.ru_RU
dc.description.abstractThe following report aims to describe our song generation application and all the means that were used to create it. The purpose of the application is to enable anyone to generate songs. These songs are generated by artificial intelligence which is based on various models. The paper also describes all the methods that were used in order to train our models that are later used by the AI.ru_RU
dc.identifier.urihttps://card-file.ontu.edu.ua/handle/123456789/17586
dc.language.isoen_USru_RU
dc.subjectmachine learningru_RU
dc.subjectLSTMru_RU
dc.subjectRNNru_RU
dc.subjectmusicru_RU
dc.subjectmusic generationru_RU
dc.subjectmidiru_RU
dc.titleFriML - music generation using machine learningru_RU
dc.typeArticleru_RU
Файли
Контейнер файлів
Зараз показуємо 1 - 1 з 1
Ескіз
Назва:
Black_Sea_Sci_2021_Kania.pdf
Розмір:
3 MB
Формат:
Adobe Portable Document Format
Опис:
Завантажити
Ліцензійна угода
Зараз показуємо 1 - 1 з 1
Ескіз
Назва:
license.txt
Розмір:
1.71 KB
Формат:
Item-specific license agreed upon to submission
Опис:
Завантажити
Зібрання