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eess.AS2025
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…
eess.AS2025
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…