Supplementary material of the paper "The power of deep without going deep? A study of HDPGMM music representation learning"

DOI:10.4121/21981442.v1
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DOI: 10.4121/21981442
Datacite citation style:
Jaehun Kim; Liem, Cynthia (2023): Supplementary material of the paper "The power of deep without going deep? A study of HDPGMM music representation learning". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21981442.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Supplementary material of the paper "The power of deep without going deep? A study of HDPGMM music representation learning"

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Authors:

    Jaehun Kim ([email protected])

    Cynthia C.S. Liem

# General Information

This entry contains the following list of data that is the by-product of the experiment conducted for a study titled "[The power of deep without going deep? A study of HDPGMM music representation learning](https://zenodo.org/record/7316610#.Y9xjoS-B0Q0)". In addition, the program for the main experimental routine is provided in the [separate repository](https://github.com/eldrin/hdpgmm-music-experiments).

History

  • 2023-02-06 first online, published, posted

Publisher

4TU.ResearchData

Format

g-zipped file contains various file formats including '*.h5', '*.npz', and '*.csv'

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems

DATA

Files (2)