Similarity and Segmenta.on for Electronic Dance Music Bruno - - PowerPoint PPT Presentation

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Similarity and Segmenta.on for Electronic Dance Music Bruno - - PowerPoint PPT Presentation

Aug 31, 2023 424 likes •531 views

Universiteit van Amsterdam 17 January 2013 Similarity and Segmenta.on for Electronic Dance Music Bruno Rocha Aline Honingh Niels Bogaards Victor Bergen Henegouwen Goal Similar

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SLIDE 1

Similarity ¡and ¡Segmenta.on ¡for ¡Electronic ¡ Dance ¡Music

Universiteit ¡van ¡Amsterdam 17 ¡January ¡2013

Bruno ¡Rocha Aline ¡Honingh Niels ¡Bogaards Victor ¡Bergen ¡Henegouwen

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SLIDE 2

Goal

Electronic Dance Music (EDM) Mobile App Similar tempo Similar timbre Similar rhythm ...

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SLIDE 3

Music

Electronic Dance Music

Seg B2

Timbre Features

User Collection

Song B Song A

Seg A1 Seg A2 Seg A3 Seg B1 Seg B2

Seg A1

Timbre Features

Seg A3

Timbre Features Rhythm Features

Distance Distance

Song N

Rhythm Features Rhythm Features

Methodology

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SLIDE 4

SimMixer

iPad test app for timbre similarity

  • database contains 1295 EDM songs
  • segmented into 22745 segments
  • each segment is represented by 31 timbre

descriptors

  • SimMixer is a tool to explore and validate

the timbre similarity algorithms

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SLIDE 5

Research Issues

Segmentation

  • Detection of first downbeat
  • typical EDM structure starts with bass drum
  • critical step for the detection of the structure

Figure 1: Detection of first downbeat

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SLIDE 6

Research Issues

Segmentation

  • Segment boundaries fine-tuning
  • segmentation algorithm detects timbre changes
  • segment boundaries in EDM are known to

usually coincide with beats

Figure 2: Segment boundaries fine-tuning

  • B. Rocha, N. Bogaards, A. Honingh, “Unsupervised detection of structural changes in electronic dance music”, DMRN, UK, 2012
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SLIDE 7

Development

  • Work method
  • develop a working algorithm
  • test feasibility
  • test usability
  • develop product(s)

Matlab C++ iPad optimized Figure 3: Tool Chain

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SLIDE 8

Lessons Learned

  • optimized implementation can only start after the

algorithm is done (lost quite some time implementing sub-algorithms that in the end are not used)

  • important to establish ground truth / reference early
  • n, but a problem is that it may not be clear what

exactly needs to be researched / developed (for instance: problem of segmentation)

  • plan research sub-projects carefully, to allow

implementation to start asap and increase involvement by industrial partner

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SLIDE 9

Conclusion

  • University vs (small) Company
  • Science vs Commerce
  • Science - Company - Audience
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SLIDE 10

Horizon

  • Intelligent mobile music tools