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Yongyi Zang

5 accepted papers

2026

Summary of The Inaugural Music Source Restoration Challenge

ICASSP 2026poster

Music Source Restoration (MSR) aims to recover original, unprocessed instrument stems from professionally mixed and degraded audio, requiring the reversal of both production effects and real-world degradations. We present the inaugural MSR Challenge, which features objective evaluation on studio-pro…

Cited by 0SourcePDFScholar
2026

YuE: Scaling Open Foundation Models for Long-Form Music Generation

ICLR 2026poster

We tackle the task of long-form music generation, particularly the challenging \textbf{lyrics-to-song} problem, by introducing \textbf{YuE (乐)}, a family of open-source music generation foundation models. Specifically, YuE scales to trillions of tokens and generates up to five minutes of music while…

Cited by 0SourcecodeScholar
2025

Piano Transcription by Hierarchical Language Modeling with Pretrained Roll-based Encoders

ICASSP 2025accepted

Automatic Music Transcription (AMT), aiming to get musical notes from raw audio, typically uses frame-level systems with piano-roll outputs or language model (LM)-based systems with note-level predictions. However, frame-level systems require manual thresholding, while the LM-based systems struggle…

Cited by 0SourceScholar
2024

SynthTab: Leveraging Synthesized Data for Guitar Tablature Transcription

ICASSP 2024accepted

Guitar tablature is a form of music notation widely used among guitarists. It captures not only the musical content of a piece, but also its implementation and ornamentation on the instrument. Guitar Tablature Transcription (GTT) is an important task with broad applications in music education, compo…

Cited by 0SourceScholar