1 citations · 2 across the 6 of their papers we have counts for
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SPHERE: Automatic Music Upmixing via Audio Language Model Post-Training with Spatial Heuristic Rewards
Zixun Guo, Calvin Murdock, Sanjeel Parekh +4
In this paper, we study the task of automatic music upmixing, wherein a system predicts spatial mixing parameters from a multi-stem recording. Different from existing methods that…
Equivariant Music Transformer
Zixun Guo, Simon Dixon
Humans recognize a musical passage even when it is shifted in time or transposed in pitch, indicating a notion of equivariance in the representation space. Our analysis, however, s…
GOAT: A Large Dataset of Paired Guitar Audio Recordings and Tablatures
Jackson Loth, Pedro Sarmento, Saurjya Sarkar +3
In recent years, the guitar has received increased attention from the music information retrieval (MIR) community driven by the challenges posed by its diverse playing techniques a…
Moonbeam: A MIDI Foundation Model Using Both Absolute and Relative Music Attributes
Zixun Guo, Simon Dixon
Moonbeam is a transformer-based foundation model for symbolic music, pretrained on a large and diverse collection of MIDI data totaling 81.6K hours of music and 18 billion tokens.…
GAPS: A Large and Diverse Classical Guitar Dataset and Benchmark Transcription Model
Xavier Riley, Zixun Guo, Drew Edwards +1
We introduce GAPS (Guitar-Aligned Performance Scores), a new dataset of classical guitar performances, and a benchmark guitar transcription model that achieves state-of-the-art per…