Muzikos generavimas panaudojant mašininį mokymąsi
Music has always had a special role among humans. In fact, not only humans. Several of the popular baleen whale species have been observed to be singing. Music has been a great companion to our wars, joys and troubles. An overview on the attempts to compose music with computations is given in this a...
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2020
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ftlithuaniansrc:oai:elaba:28872349 2023-05-15T15:36:59+02:00 Muzikos generavimas panaudojant mašininį mokymąsi Music generation using machine learning Krušna, Ąžuolas Lukoševičius, Mantas info:eu-repo/date/embargoEnd/2020-07-01 application/pdf http://ktu.oai.elaba.lt/documents/28872349.pdf http://ktu.lvb.lt/KTU:ELABAETD28872349&prefLang=en_US lit eng lit eng Institutional Repository of Kaunas University of Technology http://ktu.oai.elaba.lt/documents/28872349.pdf http://ktu.lvb.lt/KTU:ELABAETD28872349&prefLang=en_US info:eu-repo/semantics/embargoedAccess algorithmic composition echo state network (ESN) MIDI recurrent neural network long short-term memory (LSTM) network info:eu-repo/semantics/masterThesis 2020 ftlithuaniansrc 2021-12-02T01:17:16Z Music has always had a special role among humans. In fact, not only humans. Several of the popular baleen whale species have been observed to be singing. Music has been a great companion to our wars, joys and troubles. An overview on the attempts to compose music with computations is given in this article. Even though algorithmic music has been around the world since the old days, it has never attracted as many researchers as in the recent years. To our knowledge it existed in Iran back in the Middle Ages and in Europe during the Age of Enlightenment. Though the form has changed and it has grown layers of complexity, the very foundations of the algorithm that generates musical compositions have not changed, i.e. most of them are based on structures of fortuity. Additionally, models that are able to learn have been discovered allowing us to imitate the music of the incredible artists throughout history. The thought alone is crazy to think of and seems to be from the sci-fi. In this paper a thorough analysis of the technologies for music generation is carried out. Moreover, a research trying to find the best model of an echo state network in order to mimic the music of the legendary Wolfgang Amadeus Mozart has been realized. As it turns out, the best models are the ones that rely on long-term dependencies. In the end, insights of using an echo state network for music generation are given. Master Thesis baleen whale LSRC VL (Lithuanian Social Research Centre Virtual Library) |
institution |
Open Polar |
collection |
LSRC VL (Lithuanian Social Research Centre Virtual Library) |
op_collection_id |
ftlithuaniansrc |
language |
Lithuanian English |
topic |
algorithmic composition echo state network (ESN) MIDI recurrent neural network long short-term memory (LSTM) network |
spellingShingle |
algorithmic composition echo state network (ESN) MIDI recurrent neural network long short-term memory (LSTM) network Krušna, Ąžuolas Muzikos generavimas panaudojant mašininį mokymąsi |
topic_facet |
algorithmic composition echo state network (ESN) MIDI recurrent neural network long short-term memory (LSTM) network |
description |
Music has always had a special role among humans. In fact, not only humans. Several of the popular baleen whale species have been observed to be singing. Music has been a great companion to our wars, joys and troubles. An overview on the attempts to compose music with computations is given in this article. Even though algorithmic music has been around the world since the old days, it has never attracted as many researchers as in the recent years. To our knowledge it existed in Iran back in the Middle Ages and in Europe during the Age of Enlightenment. Though the form has changed and it has grown layers of complexity, the very foundations of the algorithm that generates musical compositions have not changed, i.e. most of them are based on structures of fortuity. Additionally, models that are able to learn have been discovered allowing us to imitate the music of the incredible artists throughout history. The thought alone is crazy to think of and seems to be from the sci-fi. In this paper a thorough analysis of the technologies for music generation is carried out. Moreover, a research trying to find the best model of an echo state network in order to mimic the music of the legendary Wolfgang Amadeus Mozart has been realized. As it turns out, the best models are the ones that rely on long-term dependencies. In the end, insights of using an echo state network for music generation are given. |
author2 |
Lukoševičius, Mantas |
format |
Master Thesis |
author |
Krušna, Ąžuolas |
author_facet |
Krušna, Ąžuolas |
author_sort |
Krušna, Ąžuolas |
title |
Muzikos generavimas panaudojant mašininį mokymąsi |
title_short |
Muzikos generavimas panaudojant mašininį mokymąsi |
title_full |
Muzikos generavimas panaudojant mašininį mokymąsi |
title_fullStr |
Muzikos generavimas panaudojant mašininį mokymąsi |
title_full_unstemmed |
Muzikos generavimas panaudojant mašininį mokymąsi |
title_sort |
muzikos generavimas panaudojant mašininį mokymąsi |
publisher |
Institutional Repository of Kaunas University of Technology |
publishDate |
2020 |
url |
http://ktu.oai.elaba.lt/documents/28872349.pdf http://ktu.lvb.lt/KTU:ELABAETD28872349&prefLang=en_US |
genre |
baleen whale |
genre_facet |
baleen whale |
op_relation |
http://ktu.oai.elaba.lt/documents/28872349.pdf http://ktu.lvb.lt/KTU:ELABAETD28872349&prefLang=en_US |
op_rights |
info:eu-repo/semantics/embargoedAccess |
_version_ |
1766367414764699648 |