MPEcho: A Melody and Phoneme-Aware Generative Framework for Controllable Cover Song Generation
Cover song generation (CSG) should preserve the melodic and linguistic content of a reference song while recreating the remaining musical components. The state-of-the-art model SongEcho utilizes $F_0$ sequences and voiced/unvoiced (V/UV) tags for conditioning; however, implicit linguistic information from V/UV tags cannot guarantee lyric accuracy, leading to a high phoneme error rate (PER). Inspired by singing voice synthesis (SVS), we propose MPEcho, which integrates a phoneme encoder and a length regulator (LR) into the SongEcho framework. By providing explicit phoneme-level conditioning and precise temporal boundaries, MPEcho significantly reduces PER. To enable this, we developed Phon...
| Authors | Wei-Jaw Lee, Hsuan-Yu Yeh, Ting-Yi Hu et al. |
|---|---|
| Primary category | cs.SD |
| Published | 29 July 2026 |
| Last updated at source | 29 July 2026 |
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