Tzerpos, VassiliosAlinoori, Mahshid2022-03-032022-03-032021-122022-03-03http://hdl.handle.net/10315/39123Music 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.Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.Computer scienceElectronic Thesis or Dissertation2022-03-03Music style translationMulti-instrument translationRearrangementPolyphonic timbre translationAudio processingAudio synthesis