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Explore the intersection of speech processing, natural language understanding, and machine learning techniques in this comprehensive lecture delivered by Jeff A. Bilmes from Johns Hopkins University's Center for Language & Speech Processing. Delve into fundamental concepts that bridge computational linguistics and artificial intelligence, examining how machine learning algorithms can be applied to analyze, process, and generate human speech and language. Learn about the theoretical foundations and practical applications of speech recognition systems, natural language processing models, and the mathematical frameworks that enable computers to understand and interact with human communication. Discover cutting-edge research methodologies and computational approaches used in modern speech and language technologies, including statistical models, neural networks, and probabilistic methods that power today's voice assistants, translation systems, and conversational AI platforms.
