2026-09-19T16:38:43Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1399022022-02-08T03:53:23Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Egozy, Eran
Fiksinski, Julia
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2022-02-07T15:11:43Z
2022-02-07T15:11:43Z
2021-09
2021-11-03T19:25:32.523Z
https://hdl.handle.net/1721.1/139902
We present Practica, a music education application which combines the user experience of a play-along practice application, the functionality of a melody transcription program, and the soloing tips and harmonic analysis that a music student might receive from an instructor. The user can read soloing tips and introductions to harmonic analysis, record themselves soloing over a backing track, and view transcriptions of their solos with different analysis modes applied in the form of color-coded notes. We develop an audio processing and transcription pipeline to generate sheet music for solo recordings. We examine how to present the subjective teaching and evaluation of improvisation in a programmatic manner. Two user studies suggest that Practica successfully presents students with an educational platform that empowers them to improve their musical abilities and explore jazz improvisation in a interactive and beginner-friendly format.
M.Eng.
Massachusetts Institute of Technology
In Copyright - Educational Use Permitted
Copyright MIT
http://rightsstatements.org/page/InC-EDU/1.0/
Practica: A Music Education Application for Learning Jazz Improvisation
Thesis
application/pdf
Master
Master of Engineering in Electrical Engineering and Computer Science
Publication
unknown
unknown
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<Abstract>We present Practica, a music education application which combines the user experience of a play-along practice application, the functionality of a melody transcription program, and the soloing tips and harmonic analysis that a music student might receive from an instructor. The user can read soloing tips and introductions to harmonic analysis, record themselves soloing over a backing track, and view transcriptions of their solos with different analysis modes applied in the form of color-coded notes. We develop an audio processing and transcription pipeline to generate sheet music for solo recordings. We examine how to present the subjective teaching and evaluation of improvisation in a programmatic manner. Two user studies suggest that Practica successfully presents students with an educational platform that empowers them to improve their musical abilities and explore jazz improvisation in a interactive and beginner-friendly format.</Abstract>
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