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Bayesian Speech and Language Processing (Hardcover)
Loot Price: R2,696
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Bayesian Speech and Language Processing (Hardcover)
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With this comprehensive guide you will learn how to apply Bayesian
machine learning techniques systematically to solve various
problems in speech and language processing. A range of statistical
models is detailed, from hidden Markov models to Gaussian mixture
models, n-gram models and latent topic models, along with
applications including automatic speech recognition, speaker
verification, and information retrieval. Approximate Bayesian
inferences based on MAP, Evidence, Asymptotic, VB, and MCMC
approximations are provided as well as full derivations of
calculations, useful notations, formulas, and rules. The authors
address the difficulties of straightforward applications and
provide detailed examples and case studies to demonstrate how you
can successfully use practical Bayesian inference methods to
improve the performance of information systems. This is an
invaluable resource for students, researchers, and industry
practitioners working in machine learning, signal processing, and
speech and language processing.
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