A Self-Organizing Map Model for Analysis of Musical Time Series
نویسنده
چکیده
This paper proposes a representation for univoiced musical sequences, and tests experimentally our hierarchical artiicial neural model on a musical time series | the third voice of the sixteenth four-part fugue in G minor of the Well-Tempered Clavier (vol. I) of J. S. Bach. The results obtained suggest that the model can perform eeciently on both recognition and discrimination of real musical sequences. It could recognize instances of a referential sequence | the theme of the fugue | in the presence of noise, and could also discriminate those instances out from the entire music.
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تاریخ انتشار 1998