Liu 1 . Memory And Melodic Density : A Model For Melody Segmentation
نویسنده
چکیده
In the first paper, the author summarized the shortcomings of one previous melody segmentation method, which is LBDM, and then he gave his own method, MDSM. Instead of measuring the accumulated boundary strength and identifying local maxima, this method was trying to calculate the accumulated melodic cohesion between pitch intervals and identify the local minima. Both methods extracted some intrinsic information and then they did some calculations to get quantifiable results. It is reasonable that the boundary should match the peak or the minima.
منابع مشابه
Memory and Melodic Density: a Model for Melody Segmentation
We present a memory-based model for melodic segmentation based on the notion of melodic density. The model emphasises the role of short-term memory and time in music listening, by modelling the effects of recency in the perception of boundaries. We describe the model in detail and compare it with Cambouropoulos’ Local Boundary Detection Model for a series of melody examples. First results indic...
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