HAFM uses a hierarchical autoregressive model with dual-rate HuBERT and EnCodec tokens to generate coherent instrumental music from vocals, achieving FAD 2.08 on MUSDB18 while matching prior systems with fewer parameters.
Problem Formulation Given a vocal waveformx∈R fsT of durationTseconds at sample ratef s, we model the conditional distributionP(y| x)over instrumental waveformsy
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HAFM: Hierarchical Autoregressive Foundation Model for Music Accompaniment Generation
HAFM uses a hierarchical autoregressive model with dual-rate HuBERT and EnCodec tokens to generate coherent instrumental music from vocals, achieving FAD 2.08 on MUSDB18 while matching prior systems with fewer parameters.