Research output per year
Research output per year
Description
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).
======
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).
| Date made available | 6 Feb 2023 |
|---|---|
| Publisher | TU Delft - 4TU.ResearchData |
| Date of data production | 2023 - |
Research output
- 1 Conference contribution
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The power of deep without going deep? A study of HDPGMM music representation learning
Kim, J. & Liem, C. C. S., 2022, Proceedings of the 23rd International Society for Music Information Retrieval Conference. p. 116 - 124 9 p.Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile