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Learn about spoken document retrieval and browsing techniques in this 83-minute lecture delivered by Ciprian Chelba from Google Inc. at Johns Hopkins University's Center for Language & Speech Processing. Explore the challenges and methodologies involved in searching and navigating through spoken content, including automatic speech recognition integration, indexing strategies for audio documents, and user interface design for browsing spoken materials. Discover how speech processing technologies enable effective information retrieval from large collections of audio and video content, with practical applications in multimedia databases, podcast search systems, and voice-activated information systems.
