Android Application for Optical Music Notation Recognition and the Playback on a Virtual Piano

Student: Abdulkadyrov Arslan

Educational Programme: Software Engineering (Bachelor)

Year of Graduation: 2017

This paper is devoted to Optical Music Recognition (OMR) and the following playback of the recognized melody. The work includes research of existing approaches to OMR, selection and justification of methods, description of proposed algorithms and representation of the virtual piano playback algorithm. The aim of the work is development of mobile application on the Android platform for Optical Music Recognition and the virtual piano playback. The program recognizes images obtained by converting an electronic document with a musical notation, and then demonstrates the sequence of pressing keys on a virtual piano, playing a melody. The paper contains 40 pages, 3 chapters, 29 figures, 6 schemes, 1 table, 19 bibliography items, 4 applications. Keywords: Optical Music Recognition, Android, virtual piano.

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses