A linear projection of WavLM features, including a rank-100 SVD factorization, performs voice conversion on par with much larger neural systems.
In addition to providing a practical solution to voice conversion without requiring complex model training, it offers valuable insights into the organization of SSL features
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LinearVC: Linear transformations of self-supervised features through the lens of voice conversion
A linear projection of WavLM features, including a rank-100 SVD factorization, performs voice conversion on par with much larger neural systems.