Music-STAR: a Style Translation system for Audio-based Rearrangement

Simple item page
dc.contributor.advisorTzerpos, Vassilios
dc.contributor.authorAlinoori, Mahshid
dc.date.accessioned2022-03-03T14:06:33Z
dc.date.available2022-03-03T14:06:33Z
dc.date.copyright2021-12
dc.date.issued2022-03-03
dc.date.updated2022-03-03T14:06:33Z
dc.degree.disciplineComputer Science
dc.degree.levelMaster's
dc.degree.nameMSc - Master of Science
dc.description.abstractMusic style translation has recently gained attention among music processing studies. It aims to generate variations of existing music pieces by altering the style-variant characteristics of the original music piece, while content such as the melody remains unchanged. These alterations could involve timbre translation, reharmonization, or music rearrangement. In this thesis, we plan to address music rearrangement, focusing on instrumentation, by processing waveforms of two-instrument pieces. Previous studies have achieved promising results utilizing time-frequency and symbolic music representations. Music translation on raw audio has also been investigated using single-instrument pieces. Although processing raw audio is more challenging, it embodies more detailed information about the performance, timbre, and dynamics of a music piece. To this end, we introduce Music-STAR, the first audio-based model that can transform the instruments of a multi-track piece into another set of instruments, resulting in a rearranged piece.
dc.identifier.urihttp://hdl.handle.net/10315/39123
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectComputer science
dc.subject.keywordsMusic style translation
dc.subject.keywordsMulti-instrument translation
dc.subject.keywordsRearrangement
dc.subject.keywordsPolyphonic timbre translation
dc.subject.keywordsAudio processing
dc.subject.keywordsAudio synthesis
dc.titleMusic-STAR: a Style Translation system for Audio-based Rearrangement
dc.typeElectronic Thesis or Dissertation

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Alinoori_Mahshid_2021_Masters.pdf
Size:
3.21 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
license.txt
Size:
1.87 KB
Format:
Plain Text
Description:
Download
No Thumbnail Available
Name:
YorkU_ETDlicense.txt
Size:
3.39 KB
Format:
Plain Text
Description:
Download

Collections

Computer Science

All items in the YorkSpace institutional repository are protected by copyright, with all rights reserved except where explicitly noted.