111 citations · 462 across the 65 of their papers we have counts for
3 papers · 2 filters
Unsupervised lexicon learning from speech is limited by representations rather than clustering
Danel Slabbert, Simon Malan, Herman Kamper
Zero-resource word segmentation and clustering systems aim to tokenise speech into word-like units without access to text labels. Despite progress, the induced lexicons are still f…
Should Top-Down Clustering Affect Boundaries in Unsupervised Word Discovery?
Simon Malan, Benjamin van Niekerk, Herman Kamper
We investigate the problem of segmenting unlabeled speech into word-like units and clustering these to create a lexicon. Prior work can be categorized into two frameworks. Bottom-u…
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…