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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 6 | Month- June 2024
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Published Paper Details:
Paper Title
Optical Music Recognition Using Machine Learning
Authors
Ganesh Bhagat, Sonal Fatangare, Ashwini Bansode, Priyanka Chalak, Vaishali Badde
Keywords
Optical Music Recognition, Machine Learning, Convolutional Neural Network, Sheet Music, Symbol Transcription, Image Processing, Music Scores.
Abstract
Optical Music Recognition (OMR) is a field of research that focuses on the automatic extraction of musical information from sheet music images. This paper presents a novel approach to OMR utilizing machine learning techniques and Convolutional Neural Network (CNN) algorithms. The proposed system aims to accurately transcribe musical symbols from sheet music images into a digital format. The effectiveness of the proposed method is demonstrated through comprehensive experiments, and the results show promising improvements compared to existing OMR systems. This research contributes to the advancement of OMR technology, enabling efficient and accurate digitization of sheet music.
IJCRT's Publication Details
Unique Identification Number - IJCRT23A5340
Paper ID - 238563
Page Number(s) - l225-l229
Pubished in - Volume 11 | Issue 5 | May 2023
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Ganesh Bhagat, Sonal Fatangare, Ashwini Bansode, Priyanka Chalak, Vaishali Badde, "Optical Music Recognition Using Machine Learning", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 5, pp.l225-l229, May 2023, Available at :http://www.ijcrt.org/papers/IJCRT23A5340.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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