计算机科学
人工神经网络
人工智能
时滞神经网络
模式识别(心理学)
循环神经网络
深度学习
机器学习
作者
B. Matityaho,Miriam Furst
出处
期刊:Convention of Electrical and Electronics Engineers in Israel
日期:1995-03-07
被引量:33
标识
DOI:10.1109/eeis.1995.514161
摘要
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 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 music showed 100% success with a simple model based on a neural network.
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