Musical Instrument Recognition Using Artificial Neural Network

سال انتشار: 1393
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 595

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شناسه ملی سند علمی:

JR_IJOCIT-2-2_002

تاریخ نمایه سازی: 16 فروردین 1395

چکیده مقاله:

This paper addresses musical sounds recognition produced by different instrument and focus on classification of instrument tones. Architecture of back-propagation and networks are applied as classifiers. The discrete Fourier transform vectors, mean, and variance extracted from each segment are used as parameters. The Music Instrument Sample Database (UIOWA) is used for this experiment. The number of instrument is 14. We use 16 different structures of neural networks for recognition these instruments and compare the results. Ezzaidi Hassan [1] obtained SR(14)=12/14 by MLP with 60, 120, and 240 units in the middle layer without impacting of training data set. We obtain SR(14)=13/14 using a different way for analyzing the music sounds

نویسندگان

Mahmoud Shirazi

Department of Computer Sciences and Information Technology Zanjan Iran

Mahsa Seilsepoor

Department of Computer Engineering Institute for Advanced Studies in Basic Sciences (IASBS), Kharazmi University Karaj Iran