Speech Communication 2

LV-Nr: 442.032 VO
TUGonline link: Speech Communication 2

This lecture course is complementary to the course Speech Communication 1 in that it addresses the issue of man-machine communication by means of spoken language. This results in an extension of signal processing into symbolic processing where, e.g., the recognition of speech units is performed with statistical detection theory (Hidden Markov Models) that makes use of language models built from large corpora of (symbolic) text. This highly interdisciplinary course reviews methods from speech recognition and synthesis, from computational linguistics including the development of databases for speech corpora, lexica, and grammars at various levels (syntax/semantics/pragmatics), from user interface design and dialogue management. A central goal is to teach how these components contribute to the design of conversational dialogue systems that allow for spoken language access to the information infrastruture.