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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.SD2026

MPEcho: A Melody and Phoneme-Aware Generative Framework for Controllable Cover Song Generation

Wei-Jaw Lee, Hsuan-Yu Yeh, Ting-Yi Hu +3

The paper presents MPEcho, a generative framework for controllable cover song generation that incorporates both melody and explicit phoneme-level conditioning to improve lyric accu…

cs.LG2026

Making the Most of Limited Data: Score-Aware Training for Text-to-Music Generation

Yun-Chen Cheng, Tzu-Hung Huang, Chih-Pin Tan

State-of-the-art text-to-music generation systems rely on massive proprietary datasets and industrial-scale compute, making it impossible to disentangle architectural contributions…

cs.SD2025

LargeSHS: A large-scale dataset of music adaptation

Chih-Pin Tan, Hsuan-Kai Kao, Li Su +1

Recent advances in AI-based music generation have focused heavily on text-conditioned models, with less attention given to reference-based generation such as song adaptation. To su…

cs.SD2025

Segment-Factorized Full-Song Generation on Symbolic Piano Music

Ping-Yi Chen, Chih-Pin Tan, Yi-Hsuan Yang

We propose the Segmented Full-Song Model (SFS) for symbolic full-song generation. The model accepts a user-provided song structure and an optional short seed segment that anchors t…

cs.LG2025

Time-Shifted Token Scheduling for Symbolic Music Generation

Ting-Kang Wang, Chih-Pin Tan, Yi-Hsuan Yang

Symbolic music generation faces a fundamental trade-off between efficiency and quality. Fine-grained tokenizations achieve strong coherence but incur long sequences and high comple…