Web: http://arxiv.org/abs/2206.11706

June 24, 2022, 1:10 a.m. | Werner van der Merwe, Herman Kamper, Johan du Preez

cs.LG updates on arXiv.org arxiv.org

Latent Dirichlet allocation (LDA) is widely used for unsupervised topic
modelling on sets of documents. No temporal information is used in the model.
However, there is often a relationship between the corresponding topics of
consecutive tokens. In this paper, we present an extension to LDA that uses a
Markov chain to model temporal information. We use this new model for acoustic
unit discovery from speech. As input tokens, the model takes a discretised
encoding of speech from a vector quantised …

arxiv discovery extension temporal unsupervised

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