"In general, speech and language processing involves extensive knowledge of statistical models. The acoustic model using hidden Markov models and language model using n-grams are mainly introduced.
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With this comprehensive guide readers will learn how they can apply Bayesian machine learning techniques systematically to solve speech and language processing problems. Including detailed practical explanations along with examples and case studies, this is an invaluable resource for students, researchers, and industry practitioners working in speech and language processing.
