Midi-Voice: Expressive Zero-Shot Singing Voice Synthesis via Midi-Driven Priors

Recently, singing voice synthesis (SVS) models have shown significant progress with generative models. However, previous SVS models inaccurately predict prior and fundamental frequency (F0) for unseen speakers, resulting in a low-quality generated singing voice. To address these issues, in this paper, we propose MIDI-Voice for expressive singing voice synthesis and robust zero-shot singing voice style transfer. We employ a MIDI-based prior to a score-based diffusion model for better singing voice style adaptation. We first generate a MIDI-driven prior from the musical score, and this only includes the note information, not speaker information resulting in high-quality singing voice style adaptation. We also propose a DDSP-based MIDI-style prior for synthesizing a more expressive singing voice and for singing style adaptation, although it requires additional information from the audio. The experimental results show that MIDI-Voice outperforms the previous models in synthesizing an expressive singing voice, and also the superiority in zero-shot singing voice style transfer performance.