A graphical model for formant tracking

Abstract

We present a novel approach to estimating the first two formants (F1 and F2) of a speech signal using graphical models. Using a graph that takes advantage of less commonly used features of Bayesian networks, both v-structures and soft evidence, the model presented here shows that it can learn to perform reasonably without large amounts of training data… (More)
DOI: 10.1109/ICASSP.2005.1415263

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