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Phillip Long

4 papers hereh-index 114 citations4 works total

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  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

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  • cs.SD4

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4 papers · 1 filter

cs.SD2026

MusPyExpress: Extending MusPy with Enhanced Expression Text Support

Phillip Long, Hao-Wen Dong, Julian McAuley +1

Current work in modeling symbolic music primarily relies on representations extracted from MIDI-like data. While such formats allow for modeling symbolic music as sequences of note…

cs.SD2026

Benchmarking Language Modeling for Lossless Compression of Full-Fidelity Audio

Phillip Long, Zachary Novack, Chris Donahue

Autoregressive "language" models (LMs) trained on raw waveforms can be repurposed for lossless audio compression, but prior work is limited to 8-bit audio, leaving open whether suc…

cs.SD2025

MuseTok: Symbolic Music Tokenization for Generation and Semantic Understanding

Jingyue Huang, Zachary Novack, Phillip Long +4

Discrete representation learning has shown promising results across various domains, including generation and understanding in image, speech and language. Inspired by these advance…

cs.SD2025

PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing

Phillip Long, Zachary Novack, Taylor Berg-Kirkpatrick +1

The recent explosion of generative AI-Music systems has raised numerous concerns over data copyright, licensing music from musicians, and the conflict between open-source AI and la…

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