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Titlebook: Neural Networks and Speech Processing; David P. Morgan,Christopher L. Scofield Book 1991 Springer Science+Business Media New York 1991 art

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发表于 2025-3-21 19:42:55 | 显示全部楼层 |阅读模式
书目名称Neural Networks and Speech Processing
编辑David P. Morgan,Christopher L. Scofield
视频video
丛书名称The Springer International Series in Engineering and Computer Science
图书封面Titlebook: Neural Networks and Speech Processing;  David P. Morgan,Christopher L. Scofield Book 1991 Springer Science+Business Media New York 1991 art
描述We would like to take this opportunity to thank all of those individ­ uals who helped us assemble this text, including the people of Lockheed Sanders and Nestor, Inc., whose encouragement and support were greatly appreciated. In addition, we would like to thank the members of the Lab­ oratory for Engineering Man-Machine Systems (LEMS) and the Center for Neural Science at Brown University for their frequent and helpful discussions on a number of topics discussed in this text. Although we both attended Brown from 1983 to 1985, and had offices in the same building, it is surprising that we did not meet until 1988. We also wish to thank Kluwer Academic Publishers for their profes­ sionalism and patience, and the reviewers for their constructive criticism. Thanks to John McCarthy for performing the final proof, and to John Adcock, Chip Bachmann, Deborah Farrow, Nathan Intrator, Michael Perrone, Ed Real, Lance Riek and Paul Zemany for their comments and assistance. We would also like to thank Khrisna Nathan, our most unbi­ ased and critical reviewer, for his suggestions for improving the content and accuracy of this text. A special thanks goes to Steve Hoffman, who was instrumental in he
出版日期Book 1991
关键词artificial neural network; cognition; knowledge representation; learning; modeling; natural language proc
版次1
doihttps://doi.org/10.1007/978-1-4615-3950-6
isbn_softcover978-1-4613-6763-5
isbn_ebook978-1-4615-3950-6Series ISSN 0893-3405
issn_series 0893-3405
copyrightSpringer Science+Business Media New York 1991
The information of publication is updating

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Signal Processing and Feature Extraction,ter models of “early” signal processing in mammals. A discussion of artificial neural network applications for conventional signal processing problems follows. The remainder of this chapter discusses how low-level “feature maps” may be created and used in ASR applications.
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Neural Networks and Speech Processing,rofile because it will undoubtedly have the largest economic impact of all the speech technologies. Thus, there has been considerable funding for research in this area, and recently, much of this funding has been directed toward ANN implementations.
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Introduction,understand speech. The goal of this text is to identify and explore that common ground by summarizing the neurobiology of the auditory process, introducing ANNs, identifying current speech recognition techniques, reviewing current applications of ANNs to speech processing, and speculating on the future of ANN speech processing systems.
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