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Titlebook: Robust Speech Recognition in Embedded Systems and PC Applications; Jean-Claude Junqua Book 2002 Springer Science+Business Media New York 2

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书目名称Robust Speech Recognition in Embedded Systems and PC Applications
编辑Jean-Claude Junqua
视频video
丛书名称The Springer International Series in Engineering and Computer Science
图书封面Titlebook: Robust Speech Recognition in Embedded Systems and PC Applications;  Jean-Claude Junqua Book 2002 Springer Science+Business Media New York 2
描述.Robust Speech Recognition in Embedded Systems and PCApplications. provides a link between the technology and theapplication worlds. As speech recognition technology is now goodenough for a number of applications and the core technology is wellestablished around hidden Markov models many of the differencesbetween systems found in the field are related to implementationvariants. We distinguish between embedded systems and PC-basedapplications. Embedded applications are usually cost sensitive andrequire very simple and optimized methods to be viable...Robust Speech Recognition in Embedded Systems and PCApplications. reviews the problems of robust speech recognition,summarizes the current state of the art of robust speech recognitionwhile providing some perspectives, and goes over the complementarytechnologies that are necessary to build an application, such asdialog and user interface technologies.. .Robust Speech Recognition in Embedded Systems and PCApplications. is divided into five chapters. The first one reviewsthe main difficulties encountered in automatic speech recognition whenthe type of communication is unknown. The second chapter focuses onenvironment-independent/adaptive
出版日期Book 2002
关键词Embedded Systems; Text; communication; complexity; modeling; speech recognition; tables
版次1
doihttps://doi.org/10.1007/b118036
isbn_softcover978-1-4757-7340-8
isbn_ebook978-0-306-47027-1Series ISSN 0893-3405
issn_series 0893-3405
copyrightSpringer Science+Business Media New York 2002
The information of publication is updating

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Sources of Variability and Distortion in the Communication Process,.g. telephone channels are noisy and have different characteristics), and the variable distance arid direction to the microphone introduced by hands-free recognition. This chapter presents these sources of variability/distortion along with their influence on ASR.
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Sources of Variability and Distortion in the Communication Process, This is a typical ASR challenge when an arbitrary type of microphone is used, in telephone-based applications or hands-free speech recognition. For promising domains such as computer telephony and cars, the ability to handle these challenges is becoming a requirement more than a desired feature. Th
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Confidence Measures, Dialog Modeling and User Interface,nt/adaptive speech recognition technology. In this chapter we discuss what are the critical technologies/components that make speech recognition usable. When designing an application, issues such as how to assign a confidence score to an hypothesis, how to deal with extraneous speech and out-of-voca
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From Cost Sensitive Embedded Applications to PC-based Systems,uch easier to achieve for PCs. The processing power of the average PC has increased to the point that it is now possible to deliver software-only solutions that do not require any additional hardware. In this chapter, we review techniques that are especially useful in embedded applications or to dec
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