Optical music recognition on windows phone 7

Conference proceedings article

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Publication Details

Author list: Soontornwutikul T., Thananart N., Wantanareeyachart A., Nukoolkit C., Arpnikanondt C.

Publisher: Springer

Publication year: 2013

Volume number: 209 AISC

Start page: 239

End page: 248

Number of pages: 10

ISBN: 9783642373701

ISSN: 2194-5357

eISSN: 2194-5357

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876249511&doi=10.1007%2f978-3-642-37371-8_27&partnerID=40&md5=16158101a0f230ebd5352a593a146a69

Languages: English-Great Britain (EN-GB)

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Abstract

Optical Music Recognition (OMR) software currently in the market are not normally designed for music learning and ad hoc interpretation; they usually require scanned input of music scores to perform well. In our work, we aimed to remove this inconvenience by using photos captured by mobile phone's camera as the input. With the cloud-based architecture and the design without the assumption of perfect image orientation and lighting condition, we were able to eliminate many of the software's architectural and algorithmic problems while still maintaining an overall decent performance. ฉ 2013 Springer-Verlag.

Keywords

camera, cloud-based architecture, MIDI, mobile phone, optical music recognition, sheet music