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Hidden Markov model / Kalman filter / Markov chain / Mixture model / Expectation–maximization algorithm / Maximum likelihood / Generalized method of moments / Dynamical system / Matrix / Statistics / Markov models / Estimation theory


Linear Gaussian Models for Speech Recognition Antti-Veikko Ilmari Rosti Wolfson College May 2004
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Document Date: 2007-11-16 07:17:08

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City

Cambridge / /

Company

IBM / Speech Group / Cambridge European Trust / Machine Intelligence Laboratory / Bayesian Networks / Robotics Group / Monte Carlo / /

Event

Name Change / /

Facility

NIST National Institute of Standards and Technology PLP Perceptual / Speech Recognition Antti-Veikko Ilmari Rosti Wolfson College / Machine Intelligence Laboratory / University of Cambridge / /

IndustryTerm

linear dynamical systems / deterministic and stochastic algorithms / recognition algorithms / /

NaturalFeature

t|t+1 mt / t|t mt / /

Organization

Research Scholarship Foundation of Tampere / the Tampere Chamber of Commerce and Industry / Wolfson College / SFA / Graduate School / Jenny / Institute of Standards and Technology PLP Perceptual / University of Cambridge / Antti Wihuri Foundation / Finnish Cultural Foundation / Engineering and Physical Sciences Research Council / Nokia Foundation / Detailed Organisation of Thesis / /

Person

Steve Young / Anna Langley / Mark Gales / Nigel Kettley / Patrick Gosling / Thomas Hain / Rao-Blackwellised Gibbs / Phil Woodland / Gunnar Evermann / /

Position

supervisor / model for co-articulation / General / /

ProgrammingLanguage

ML / /

Technology

deterministic and stochastic algorithms / Speech Recognition / recognition algorithms / 3.3 Baum-Welch Algorithm / machine learning / 1.2 Expectation Maximisation Algorithm / 4.3 Recognition Algorithms / /

SocialTag