Neural network based model for classification of music type

Benyamin Matityaho; Miriam Furst

Neural network based model for classification of music type

Benyamin Matityaho^*, Miriam Furst

^*Corresponding author for this work

School of Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

We can easily tell which type of music, like pop or classic, is played after listening to a few seconds of the music. But when looking at signal representation of the music, no clear difference can be seen. We propose in this paper a new approach to recognize the music type, using a multi-layer neural network as the decision making system. The presented model for classifying two types of musics showed 100% success with a simple model based on a neural network.

Original language	English
Pages	4.3.4/1-5
State	Published - 1995
Event	Proceedings of the 18th Convention of Electrical and Electronics Engineers in Israel - Tel Aviv, Isr Duration: 7 Mar 1995 → 8 Mar 1995

Conference

Conference	Proceedings of the 18th Convention of Electrical and Electronics Engineers in Israel
City	Tel Aviv, Isr
Period	7/03/95 → 8/03/95

Cite this

@conference{eb7fc7e212ed4a09b933ba6cbed7e761,

title = "Neural network based model for classification of music type",

abstract = "We can easily tell which type of music, like pop or classic, is played after listening to a few seconds of the music. But when looking at signal representation of the music, no clear difference can be seen. We propose in this paper a new approach to recognize the music type, using a multi-layer neural network as the decision making system. The presented model for classifying two types of musics showed 100% success with a simple model based on a neural network.",

author = "Benyamin Matityaho and Miriam Furst",

year = "1995",

language = "אנגלית",

pages = "4.3.4/1--5",

note = "null ; Conference date: 07-03-1995 Through 08-03-1995",

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TY - CONF

T1 - Neural network based model for classification of music type

AU - Matityaho, Benyamin

AU - Furst, Miriam

PY - 1995

Y1 - 1995

N2 - We can easily tell which type of music, like pop or classic, is played after listening to a few seconds of the music. But when looking at signal representation of the music, no clear difference can be seen. We propose in this paper a new approach to recognize the music type, using a multi-layer neural network as the decision making system. The presented model for classifying two types of musics showed 100% success with a simple model based on a neural network.

AB - We can easily tell which type of music, like pop or classic, is played after listening to a few seconds of the music. But when looking at signal representation of the music, no clear difference can be seen. We propose in this paper a new approach to recognize the music type, using a multi-layer neural network as the decision making system. The presented model for classifying two types of musics showed 100% success with a simple model based on a neural network.

UR - http://www.scopus.com/inward/record.url?scp=0029236316&partnerID=8YFLogxK

M3 - הרצאה

AN - SCOPUS:0029236316

SP - 4.3.4/1-5

Y2 - 7 March 1995 through 8 March 1995

ER -

Neural network based model for classification of music type

Abstract

Conference

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