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- W3202065141 abstract "Music plays a vital role in any culture despite whether it is primary or modern and it is a good indicator reflecting the nature of the culture where it has been produced. Music traditions were developed even in the pre-historic periods when people did not have a proper method of documentation and scores of music.Melodies of different culture styles exhibit immense differences. Analyzing those differences is essential in various fields particularly ethnomusicology which studies non-western music based on cultural context. This paper presents an attempt of culture based melody classification using pitch.With respect to that, a prototype has been developed in Java, which utilizes a Markov chains and Neural Networks. Experiments were conducted with several datasets which were chosen from the traditional music styles such as Indian and Japanese." @default.
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- W3202065141 date "2012-01-01" @default.
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- W3202065141 title "Traditional and folk melody classifier on culture style using markov models and neural networks" @default.
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