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Titlebook: Recent Advances in Speech Understanding and Dialog Systems; H. Niemann,M. Lang,G. Sagerer Conference proceedings 1988 Springer-Verlag Berl

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书目名称Recent Advances in Speech Understanding and Dialog Systems
编辑H. Niemann,M. Lang,G. Sagerer
视频video
丛书名称NATO ASI Subseries F:
图书封面Titlebook: Recent Advances in Speech Understanding and Dialog Systems;  H. Niemann,M. Lang,G. Sagerer Conference proceedings 1988 Springer-Verlag Berl
描述This volume contains invited and contributed papers presented at the NATO Advanced study Insti tute on "Recent Advances in Speech Understanding and Dialog systems" held in Bad Windsheim, Federal Republic of Germany, July 5 to July 18, 1987. It is divided into the three parts Speech coding and Segmentation, Word Recognition, and Linguistic Processing. Although this can only be a rough organization showing some overlap, the editors felt that it most naturally represents the bottom-up strategy of speech understanding and, therefore, should be useful for the reader. Part 1, SPEECH CODING AND SEGMENTATION, contains 4 invited and 14 contributed papers. The first invited paper summarizes basic properties of speech signals, reviews coding schemes, and describes a particular solution which guarantees high speech quality at low data rates. The second and third invited papers are concerned with acoustic-phonetic decoding. Techniques to integrate knowledge­ sources into speech recognition systems are presented and demonstrated by experimental systems. The fourth invited paper gives an overview of approaches for using prosodic knowledge in automatic speech recogni tion systems, and a method for
出版日期Conference proceedings 1988
关键词cognition; hidden Markov model; knowledge; knowledge base; linguistics; search algorithm; speech recogniti
版次1
doihttps://doi.org/10.1007/978-3-642-83476-9
isbn_softcover978-3-642-83478-3
isbn_ebook978-3-642-83476-9Series ISSN 0258-1248
issn_series 0258-1248
copyrightSpringer-Verlag Berlin Heidelberg 1988
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Recent Advances in Speech Understanding and Dialog Systems978-3-642-83476-9Series ISSN 0258-1248
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https://doi.org/10.1007/978-3-642-83476-9cognition; hidden Markov model; knowledge; knowledge base; linguistics; search algorithm; speech recogniti
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Conference proceedings 1988ustic-phonetic decoding. Techniques to integrate knowledge­ sources into speech recognition systems are presented and demonstrated by experimental systems. The fourth invited paper gives an overview of approaches for using prosodic knowledge in automatic speech recogni tion systems, and a method for
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