Singing voice conversion aims to convert singer's voice from source to target without
changing singing content. Parallel training data is typically required for the training of …

Singing voice conversion (SVC) is a task to convert the source singer's voice to sound like
that of the target singer, without changing the lyrical content. So far, most of the voice …

Singing voice conversion (SVC) is a task of converting the perception of the source
speaker's identity to the target speaker without changing lyrics and rhythm. Recent …

Singing voice conversion (SVC) aims to convert the voice of one singer to that of other
singers while keeping the singing content and melody. On top of recent voice conversion …

Singing voice conversion is to convert a singer's voice to another one's voice without
changing singing content. Recent work shows that unsupervised singing voice conversion …

Recent progress in deep generative models has improved the quality of voice conversion in
the speech domain. However, high-quality singing voice conversion (SVC) of unseen …

Singing voice conversion (SVC) is a task to convert one singer's voice to sound like that of
another, without changing the lyrical content. Singing conveys lexical and emotional …

Singing voice conversion is a task to convert a song sang by a source singer to the voice of
a target singer. In this paper, we propose using a parallel data free, many-to-one voice …

Singing voice conversion (SVC) converts a singer's voice to another one's voice while
preserving the linguistic content. Recently, some SVC systems rely on supervised phonetic …

Singing voice conversion is converting the timbre in the source singing to the target
speaker's voice while keeping singing content the same. However, singing data for target …