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Using Transportation Distances for Measuring Melodic Similarity

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Title: Using Transportation Distances for Measuring Melodic Similarity


1
Using Transportation Distances for Measuring
Melodic Similarity
  • Pichaya Tappayuthpijarn
  • Qiang Wang

2
Outline
  • Introduction
  • Melodic Similarity Measuring
  • The Earth Movers Distance (EMD)
  • The Proportional Transportation Distance (PTD)
  • Results Conclusion

3
Introduction
  • Weighted notes are well suited to represent
    music.
  • Measuring melodic similarity by comparing
    weighted notes.
  • Using EMD or PTD to measure the similarity.

4
Melodic Similarity Measuring
  • Weighted Notes represented by (Time, Pitch,
    Weight). The weights only reflect the note
    durations.

5
Properties of a Metric
For pseudo-metric, only properties i, iii and
iv holds.
6
The Earth Movers Distance (EMD)
  • measures the minimum amount of work needed to
    transform one into the other by moving weight.

7
Minimize the overall cost
with constraints
8
W, U are the total weights of A, B respectively,
9
Example a weight flow with EMD
10
The Proportional Transportation Distance (PTD)
  • EMD v.s. PTD
  • PTD is a modified version of EMD.
  • In the case of unequal total weight, triangle
    inequality does not hold for the EMD.
  • By PTD, triangle inequality holds, making
    database search more efficient by using indices.

11
The Proportional Transportation Distance
  • for both point set, divide every points weight
    by its point sets total weight
  • then calculate the EMD for the resulting point
    sets.

12
Properties of PTD
  • A pseudo-metric.
  • Triangle inequality holds true

abgtc
13
  • Gives clear distinction of groups.
  • The fact that the EMD allows partial matching,
    while the PTD matches all notes, leads to a clear
    distinction of these groups by the PTD, but not
    the EMD.

14
  • Can recognize augmented versions of the same
    melody as similar.

15
Result Conclusion
  • PTD leads to the identification of about 3.9 of
    100 randomly chosen search ( for r 1).
  • For r 5, we need less than 1000 calculations
    instead of 476,000.
  • PTD Indexing reduces the query running time.

16
Thank you!
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