Latent class model with application to speaker diarization

Volume: 2019, Issue: 1
Published: Jul 9, 2019
Abstract
In this paper, we apply a latent class model (LCM) to the task of speaker diarization. LCM is similar to Patrick Kenny’s variational Bayes (VB) method in that it uses soft information and avoids premature hard decisions in its iterations. In contrast to the VB method, which is based on a generative model, LCM provides a framework allowing both generative and discriminative models. The discriminative property is realized through the use of...
Paper Details
Title
Latent class model with application to speaker diarization
Published Date
Jul 9, 2019
Journal
Volume
2019
Issue
1
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