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Explore semantic information processing techniques for spoken language in this 73-minute lecture delivered by Allen Gorin from AT&T Shannon Laboratories. Delve into advanced speech research methodologies and computational approaches for extracting meaning from spoken utterances. Learn about the intersection of speech recognition and natural language understanding, examining how semantic information can be processed and interpreted from audio input. Discover research developments in automatic speech understanding systems and their applications in real-world scenarios. Gain insights into the challenges and solutions in bridging the gap between acoustic speech signals and semantic representation, drawing from cutting-edge work conducted at AT&T's speech research division.
