Support Material: Unsupervised Interpretable Representation Learningfor Singing Voice Separation

  • Stylianos Ioannis Mimilakis (Creator)
  • Konstantinos Drossos (Creator)
  • Gerald Schuller (Creator)

Dataset

Description

Support material for the manuscript entitled: "Unsupervised Interpretable Representation Learning for Singing Voice Separation". It contains binary files of the optimized and best performing models described in the corresponding manuscript. The attached file is to be used alongside the provided source code: https://github.com/Js-Mim/rl_singing_voice .
Date made available3 Mar 2020
PublisherZenodo

Field of science, Statistics Finland

  • 113 Computer and information sciences
  • 1 Conference contribution

  • Unsupervised Interpretable Representation Learning for Singing Voice Separation

    Mimilakis, S. I., Drossos, K. & Schuller, G., 2020, 28th European Signal Processing Conference. EUSIPCO, p. 1412-1416 5 p. (European Signal Processing Conference; no. 2021-January).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

    Open Access
    5 Citations (Scopus)

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