Word Segmentation on Discovered Phone Units With Dynamic Programming and Self-Supervised Scoring
Word Segmentation on Discovered Phone Units With Dynamic Programming and Self-Supervised Scoring
Recent work on unsupervised speech segmentation has used self-supervised models with phone and word segmentation modules that are trained jointly. This paper instead revisits an older approach to word segmentation: bottom-up phone-like unit discovery is performed first, and symbolic word segmentation is then performed on top of the discovered units …