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LooPy: A Research-Friendly Mix Framework for Music Information Retrieval on Electronic Dance Music

arXiv 2305.01051 ↗First posted 1 May 2023cs.SD cs.IR cs.LGcited by 0

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Abstract (arXiv)

Music information retrieval (MIR) has gone through an explosive development with the advancement of deep learning in recent years. However, music genres like electronic dance music (EDM) has always been relatively less investigated compared to others. Considering its wide range of applications, we present a Python package for automated EDM audio generation as an infrastructure for MIR for EDM songs, to mitigate the difficulty of acquiring labelled data. It is a convenient tool that could be easily concatenated to the end of many symbolic music generation pipelines. Inside this package, we provide a framework to build professional-level templates that could render a well-produced track from specified melody and chords, or produce massive tracks given only a specific key by our probabilistic symbolic melody generator. Experiments show that our mixes could achieve the same quality of the original reference songs produced by world-famous artists, with respect to both subjective and objective criteria. Our code is accessible in this repository: https://github.com/Gariscat/loopy and the official site of the project is also online https://loopy4edm.com .

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 15 of its 28 references that are in the map. First posted on arXiv 1 May 2023.

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References · 15

  1. 2021Symbolic Music Generation with Diffusion Modelscited by 154
  2. 2017MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompanimentcited by 151
  3. 2022Hybrid Transformers for Music Source Separationcited by 134
  4. 2018A Hierarchical Latent Vector Model for Learning Long-Term Structure in Musiccited by 131
  5. 2021MT3: Multi-Task Multitrack Music Transcriptioncited by 71
  6. 2016Learning Features of Music from Scratchcited by 58
  7. 2022Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generationcited by 49
  8. 2022A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modelingcited by 17
  9. 2022Symbolic music generation conditioned on continuous-valued emotionscited by 13
  10. 2021DawDreamer: Bridging the Gap Between Digital Audio Workstations and Python Interfacescited by 10
  11. 2021Score Transformer: Generating Musical Score from Note-level Representationcited by 7
  12. 2022Symbolic Music Loop Generation with Neural Discrete Representationscited by 7
3 more
  1. 2021Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Featurescited by 3
  2. 2020Automatic Detection of Cue Points for DJ Mixingcited by 2
  3. 2022HouseX: A Fine-grained House Music Dataset and its Potential in the Music Industrycited by 2

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