Please use this identifier to cite or link to this item:
https://hdl.handle.net/11147/12545
Title: | Diziden Diziye Modeli ve MIDI Müzik Veri Tabanı Kullanımıyla Gerçekçi Bir Davul Eşliği Üreteci | Other Titles: | A Realistic Drum Accompaniment Generator Using Sequence-To Model and Midi Music Database | Authors: | Akyuz, Yavuz Batuhan Gumustekin, Sevket |
Keywords: | Midi Sequence-To-Sequence Encoder And Decoder Long-Short Term Memory Teacher Forcing Temperature Sampling Autonomous Music Accompany |
Publisher: | IEEE | Series/Report no.: | Signal Processing and Communications Applications Conference | Abstract: | In this work, artificial intelligence reinterpretation and/or addition of drum parts for musical pieces supplied in Musical Instruments Digital Interface (MIDI) format, have been carried out. To achieve this, Sequence-to-Sequence learning method and Encoder-Decoder Long Short-Term Memory (LSTM) artificial neural network model have been used. In order to improve training of this neural network, teacher forcing method was utilized. In the generation of new drum parts, the quality and the originality of the samples were improved by using temperature sampling. Our proposed method produces high quality drum accompaniments with adjustable complexity. | URI: | https://doi.org/10.1109/SIU55565.2022.9864843 | ISBN: | 9781665450928 | ISSN: | 2165-0608 |
Appears in Collections: | Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Files in This Item:
File | Description | Size | Format | |
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A_Realistic_Drum.pdf | Conference Paper | 977.45 kB | Adobe PDF | View/Open |
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