DP-Parse: Finding Word Boundaries from Raw Speech with an Instance Lexicon. (arXiv:2206.11332v1 [cs.CL])

Web: http://arxiv.org/abs/2206.11332

Finding word boundaries in continuous speech is challenging as there is
little or no equivalent of a 'space' delimiter between words. Popular Bayesian
non-parametric models for text segmentation use a Dirichlet process to jointly
segment sentences and build a lexicon of word types. We introduce DP-Parse,
which uses similar principles but only relies on an instance lexicon of word
tokens, avoiding the clustering errors that arise with a lexicon of word types.
On the Zero Resource Speech Benchmark 2017, our …

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