Sharon Goldwater: Vectors and their uses

[Simon]

Discuss here

[Haitong Z]

We use cosine similarity to estimate the distance in case of high-dimensionaity. So, in speech recognition, what are the other possible dimensions, except for F1 and F2?

[Simon]

You could imagine doing speech recognition by measuring the cosine similarity between feature vectors. But this is not the usual way.

We typically use a generative model (the Gaussian, or Normal, probability density function) of feature vectors, within a generative model of sequences (a Hidden Markov Model).

[Author]

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