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Singing voice synthesis (SVS), as a specific task for generating the vocalsinging voice from a music score, has drawn much attention in recent years. SVSfaces the challenge that the singing has various pronunciation flexibilityconditioned on the same music score. Most of the previous works of SVS can notwell handle the misalignment between the music score and actual singing. Inthis paper, we propose an acoustic feature processing strategy, named PHONEix,with a phoneme distribution predictor, to alleviate the gap between the musicscore and the singing voice, which can be easily adopted in different SVSsystems. Extensive experiments in various settings demonstrate theeffectiveness of our PHONEix in both objective and subjective evaluations.

PHONEix: Acoustic Feature Processing Strategy for Enhanced Singing Pronunciation with Phoneme Distribution Predictor