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Talk by Dr. Christian Walder (Data61, Australia)

Wed, 10 Oct 2018 14:00 - 15:30

RIKEN AIP

Nihonbashi 1-chome Mitsui Building, 15th floor, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan

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Speaker: Dr. Christian Walder (Data61, Australia)

Title: Neural Dynamic Programming for Musical Self Similarity

Abstract:
We present a neural sequence model designed specifically for symbolic music. The model is based on a learned edit distance mechanism which generalises a classic recursion from computer science, leading to a neural dynamic program. Repeated motifs are detected by learning the transformations between them. We represent the arising computational dependencies using a novel data structure, the edit tree; this perspective suggests natural approximations which afford the scaling up of our otherwise cubic time algorithm.

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