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Titlebook: Language Modeling for Automatic Speech Recognition of Inflective Languages; An Applications-Orie Gregor Donaj,Zdravko Kačič Book 2017 The A

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书目名称Language Modeling for Automatic Speech Recognition of Inflective Languages
副标题An Applications-Orie
编辑Gregor Donaj,Zdravko Kačič
视频video
概述Concentrates on speech recognition for inflective languages – representative of roughly half of Europe and their unique characteristics.Introduces new application-oriented methods for measuring the pe
丛书名称SpringerBriefs in Speech Technology
图书封面Titlebook: Language Modeling for Automatic Speech Recognition of Inflective Languages; An Applications-Orie Gregor Donaj,Zdravko Kačič Book 2017 The A
描述This book covers language modeling and automatic speech recognition for inflective languages (e.g. Slavic languages), which represent roughly half of the languages spoken in Europe. These languages do not perform as well as English in speech recognition systems and it is therefore harder to develop an application with sufficient quality for the end user. The authors describe the most important language features for the development of a speech recognition system. This is then presented through the analysis of errors in the system and the development of language models and their inclusion in speech recognition systems, which specifically address the errors that are relevant for targeted applications. The error analysis is done with regard to morphological characteristics of the word in the recognized sentences. The book is oriented towards speech recognition with large vocabularies and continuous and even spontaneous speech. Today such applications work with a rather small number of languages compared to the number of spoken languages.
出版日期Book 2017
关键词Apple Siri; Application Oriented Language Modeling; Automatic Speech Recognition; Google Voice Search; H
版次1
doihttps://doi.org/10.1007/978-3-319-41607-6
isbn_softcover978-3-319-41605-2
isbn_ebook978-3-319-41607-6Series ISSN 2191-737X Series E-ISSN 2191-7388
issn_series 2191-737X
copyrightThe Author(s) 2017
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Speech Recognition in Inflective Languages, models. The last part of the chapter discusses morphosyntactic description tagging in inflective languages that will be used in further chapters. This chapter does not give a comprehensive overview of speech recognition, solely basic descriptions and some more information that is necessary to understand the content of further chapters are given.
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2191-737X d towards speech recognition with large vocabularies and continuous and even spontaneous speech. Today such applications work with a rather small number of languages compared to the number of spoken languages.978-3-319-41605-2978-3-319-41607-6Series ISSN 2191-737X Series E-ISSN 2191-7388
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ittelpunktsteht die Festigung der phonologischen Bewusstheit und die damit verbundene Anbahnung des Lesens und Schreibens bei Mervin. Die Schwierigkeiten und langsam aber nachhaltig einsetzenden Erfolge eines m978-3-642-55304-2978-3-642-55305-9
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Performance Evaluation Using Lexical Data,ved alignment an error analysis with regard to lexical features will be presented. Errors are analyzed based on word lengths, part-of-speech classification, grammatical categories and word lemma. The final analysis categorizes errors based on lexical properties in several disjoint groups. Based on t
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Gregor Donaj,Zdravko Kačičendigenden Wirtschaftsjahre wurde wieder eine richtige Körperschaftsteuer nach dem KStG v. 10. 8. 1925 (RGBl. I. S. 208) erhoben. Das hier zu behandelnde KStG v. 16. 10. 1934 ist im ersten Abschnitt der nationalsozialistischen Steuerreform ergangen, in dem am 16. 10. 1934 zehn neue Steuergesetze ver
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