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