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Explore the fundamentals of automatic speech recognition in this comprehensive lecture from Johns Hopkins University's Summer School on Human Language Technology. Learn core concepts, methodologies, and techniques used in converting spoken language into text through computational systems. Discover the mathematical foundations, signal processing approaches, and algorithmic frameworks that enable machines to understand and transcribe human speech. Examine the challenges and solutions in acoustic modeling, language modeling, and decoding processes that form the backbone of modern speech recognition systems. Gain insights into the historical development and current state-of-the-art approaches in this rapidly evolving field of human language technology.
