758 citations · 984 across the 17 of their papers we have counts for
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LinearVC: Linear transformations of self-supervised features through the lens of voice conversion
Herman Kamper, Benjamin van Niekerk, Julian Zaïdi +1
We introduce LinearVC, a simple voice conversion method that sheds light on the structure of self-supervised representations. First, we show that simple linear transformations of s…
Spoken-Term Discovery using Discrete Speech Units
Benjamin van Niekerk, Julian Zaïdi, Marc-André Carbonneau +1
Discovering a lexicon from unlabeled audio is a longstanding challenge for zero-resource speech processing. One approach is to search for frequently occurring patterns in speech. W…
Rhythm Modeling for Voice Conversion
Benjamin van Niekerk, Marc-André Carbonneau, Herman Kamper
Voice conversion aims to transform source speech into a different target voice. However, typical voice conversion systems do not account for rhythm, which is an important factor in…
A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion
Benjamin van Niekerk, Marc-André Carbonneau, Julian Zaïdi +3
The goal of voice conversion is to transform source speech into a target voice, keeping the content unchanged. In this paper, we focus on self-supervised representation learning fo…