Concepedia

Music Embedding Models

Music Embedding Models is a computational framework in Computational Musicology that belongs to the class of representation learning models, distinguished by its ability to map musical elements such as notes, chords, or sequences into continuous vector spaces where structural and semantic relationships among music data are preserved.

58

Publications

2.8K

Citations

158

Authors

57

Institutions

Publications per year

2017–2026

39

Parents

Publications

58

Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders

Jesse Engel, Cinjon Resnick, Adam P. Roberts et al. · arXiv (Cornell University) · 2017 · 298 citations · Full text

, , +13

A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music

Adam P. Roberts, Jesse Engel, Colin Raffel et al. · arXiv (Cornell University) · 2018 · 259 citations · Full text

, , +12

Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders

Jesse Engel, Cinjon Resnick, Adam P. Roberts et al. · arXiv (Cornell University) · 2017 · 175 citations · Full text

, , +13

On the evaluation of generative models in music

Li-Chia Yang, Alexander Lerch · Neural Computing and Applications · 2018 · 154 citations

, , +6

Feature learning and deep architectures: new directions for music informatics

Eric J. Humphrey, Juan Pablo Bello, Yann LeCun · Journal of Intelligent Information Systems · 2013 · 136 citations

, , +17

1–5 of 58

Authors

158

  1. JE
    Jesse Engel

    Google (United States), United States

    8 publications · 919 citations

    8

    h-index

  2. DE
    Douglas Eck

    Université de Montréal, Canada

    7 publications · 860 citations

    7

    h-index

  3. AP
    Adam P. Roberts

    University College London, United Kingdom

    7 publications · 869 citations

    7

    h-index

  4. SD
    Shuiguang Deng

    Zhejiang University of Science and Technology, China

    4 publications · 178 citations

    4

    h-index

  5. XZ
    Xin Zhang

    Hangzhou Dianzi University, China

    4 publications · 178 citations

    4

    h-index

1–5 of 158

Institutions

57

  1. University of Technology Sydney

    Sydney, Australia

    4 h-index

    5 publications

    207 citations

  2. Google (United States)

    Mountain View, United States

    3 h-index

    10 publications

    2K citations

  3. Cornell University

    Ithaca, United States

    3 h-index

    8 publications

    292 citations

  4. Ithaca College

    Ithaca, United States

    3 h-index

    3 publications

    101 citations

  5. Tencent (China)

    Shenzhen, China

    2 h-index

    3 publications

    111 citations

  6. Université de Montréal

    Montreal, Canada

    2 h-index

    4 publications

    107 citations

  7. Hangzhou Dianzi University

    Hangzhou, China

    2 h-index

    7 publications

    413 citations

  8. National University of Singapore

    Singapore, Singapore

    2 h-index

    6 publications

    124 citations

1–8 of 57

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 879 citations

    8

    h-index

  2. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 4 publications · 143 citations

    4

    h-index

  3. Neural Computing and Applications

    3 publications · 312 citations

    3

    h-index

  4. Digital Collections - Ithaca College Library (Ithaca College)

    Repository · 3 publications · 101 citations

    3

    h-index

  5. 2

    h-index

1–5