AI BriefingLG AI Research 297
Key point
LG AI Research is researching a loop-based music generation model to help with motif generation, which is at the core of music composition.
Details
Music composition goes through a complex process, from setting the theme to melody, chords, instrument configuration, and arrangement and mixing. LG AI Research is focusing on research to generate the Motif that forms the center of a song, in order to help artists' creative process.
Instead of creating an entire song at once, the research team focuses on generating a core Loop of about 4-8 bars that artists can develop further. For this, they utilize the MIDI format, and to leverage the discrete characteristics of the data, they use a binary representation quantized in sixteenth-note units.
In particular, to effectively reflect the repetitive nature of music, the following approaches were adopted.
- Focus on Loop generation: Generates 4-8 bar loops, the basic unit of music, to alleviate the error accumulation problem of autoregressive models.
- Utilizing Discrete Latent Codes: Used to represent repetitive patterns within a finite space.
- Designing a One-class Loop Detector: Departing from existing structural pattern-based extraction methods, they propose a data-driven approach to loop extraction through an anomaly detection model based on Deep SVDD.
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