Author

Yi-Hsuan Yang

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Preprint Oct 2026

MQAScore: Fine-Grained Text-Music Alignment Evaluation via Large Audio Language Model

Text-to-music alignment is commonly evaluated by the global similarity between text and audio embeddings, which collapses all described attributes into a single score and obscures which ones are missing. We instead introduce MQAScore, which verifies each atomic musical concept along five clip-level dimensions (genre, i...

Wei-Jaw Lee, Chun-Ping Wang, Xuan-Jun Chen et al. · 0 citations

#machine learning Preprint Oct 2026

MIDI-REPA: Improving Text-to-Music Generation with Symbolic Representation Alignment

State-of-the-art text-to-music models increasingly rely on scaling model capacity, data, and compute, while still learning musical structure directly from dense audio. Yet melody, rhythm, harmony, and structure can be represented compactly in symbolic form. We introduce MIDI-REPA, a representation-alignment framework t...

Song Yu, Fang-Duo Tsai, Yi-Hsuan Yang · 0 citations