From the 1 of 6 linked papers with an AI index.
6 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…
MIDI-Informed Singing Accompaniment Generation in a Compositional Song Pipeline
Fang-Duo Tsai, Yi-An Lai, Fei-Yueh Chen +4
While end-to-end lyrics-to-song models offer convenience for casual users, professional songwriters require score-to-song systems that allow them to retain authorship over the core…
Seedance 2.0: Advancing Video Generation for World Complexity
Team Seedance, De Chen, Liyang Chen +168
Seedance 2.0 is a new native multi-modal audio-video generation model, officially released in China in early February 2026. Compared with its predecessors, Seedance 1.0 and 1.5 Pro…
Training-Efficient Text-to-Music Generation with State-Space Modeling
Wei-Jaw Lee, Fang-Chih Hsieh, Xuanjun Chen +2
Recent advances in text-to-music generation (TTM) have yielded high-quality results, but often at the cost of extensive compute and the use of large proprietary internal data. To i…
Exploring State-Space-Model based Language Model in Music Generation
Wei-Jaw Lee, Fang-Chih Hsieh, Xuanjun Chen +2
The recent surge in State Space Models (SSMs), particularly the emergence of Mamba, has established them as strong alternatives or complementary modules to Transformers across dive…
MuseControlLite: Multifunctional Music Generation with Lightweight Conditioners
Fang-Duo Tsai, Shih-Lun Wu, Weijaw Lee +4
We propose MuseControlLite, a lightweight mechanism designed to fine-tune text-to-music generation models for precise conditioning using various time-varying musical attributes and…