jasem Mohammed, S. (2012). Standard printed musical note recognition based on neural network. Alustath, 6(2), 20-25. doi: 10.37652/juaps.2012.63373
Saja jasem Mohammed. "Standard printed musical note recognition based on neural network". Alustath, 6, 2, 2012, 20-25. doi: 10.37652/juaps.2012.63373
jasem Mohammed, S. (2012). 'Standard printed musical note recognition based on neural network', Alustath, 6(2), pp. 20-25. doi: 10.37652/juaps.2012.63373
jasem Mohammed, S. Standard printed musical note recognition based on neural network. Alustath, 2012; 6(2): 20-25. doi: 10.37652/juaps.2012.63373

Standard printed musical note recognition based on neural network

Journal of University of Anbar for Pure Science
Article 7, Volume 6, Issue 2, August 2012, Pages 20-25    PDF (606.85 K)
Document Type: Research Paper
DOI: 10.37652/juaps.2012.63373
Author
Saja jasem Mohammed*
Mosul University - College of Computer Science and Mathematics
Abstract
Artificial neural network is widely used for many computer applications and assure it success in all of these fields, like recognition applications. In this paper the a supervised NN is used to recognize printed musical notes. First music staff image is read, this staff is segmented in to no. of single music note, then feature extraction is performed on results using combination of mathematic and statistic operations. BP now will trained on all extracted feature to recognize the standard printed music notes. This algorithm is applied on many examples and achieve good results and low error rate.
References
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حساب القیم الذاتیة

تحویل الصورة الى صورة ذات ألوان ثنائیة وتقطیعها

اتخاذ احدى العلامات المثال وتطبیق الخوارزمیة علیها

ازالة الاسطر الزائدة من العلامة

ایجاد مصفوفة التغایر

تدریب شبکة  BP

الشکل(4)خطوات استخلاص خواص السلم الموسیقی

 
F.,S. W. and L.,E.W., (2003). Application of FRM filters for musical notes separation . IEEE computer society press, vol. 1: 731-734.

 

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