Using WavLM self-supervised features with fine-tuning and weighted layer summation, the paper reports improved melody preservation in singing voice conversion with background music compared to PYIN and Crepe baselines.
Statisti- cal singing voice conversion based on direct waveform modification with global variance,
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Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features
Using WavLM self-supervised features with fine-tuning and weighted layer summation, the paper reports improved melody preservation in singing voice conversion with background music compared to PYIN and Crepe baselines.