Probabilistic modeling with Bayesian networks for automatic speech recognition

Geoffrey Zweig; Stuart Russell

doi:10.21437/icslp.1998-198

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Probabilistic modeling with Bayesian networks for automatic speech recognition

Geoffrey Zweig Stuart Russell

Year: 1998 Pages: paper 0858-0

DOI: 10.21437/icslp.1998-198

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Abstract

Bayesian networks are an extremely general probabilistic modeling framework, and are increasingly being applied to complex real-world problems. In this paper, we describe the use of a Bayesian network system in large vocabulary isolated word recognition.

Keywords:

Computer science Bayesian network Probabilistic logic Variable-order Bayesian network Artificial intelligence Vocabulary Dynamic Bayesian network Statistical model Bayesian probability Graphical model Bayesian programming Machine learning Word (group theory) Natural language processing Bayesian inference Mathematics

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Topics

Natural Language Processing Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Speech and dialogue systems

Physical Sciences → Computer Science → Artificial Intelligence

Bayesian Modeling and Causal Inference

Physical Sciences → Computer Science → Artificial Intelligence

Probabilistic modeling with Bayesian networks for automatic speech recognition

Abstract

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Citation History

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