Language Modeling for Automatic Speech Recognition of Inflective Languages

An Applications-Oriented Approach Using Lexical Data

Nonfiction, Science & Nature, Technology, Electronics, Computers, Advanced Computing
Cover of the book Language Modeling for Automatic Speech Recognition of Inflective Languages by Gregor Donaj, Zdravko Kačič, Springer International Publishing
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Author: Gregor Donaj, Zdravko Kačič ISBN: 9783319416076
Publisher: Springer International Publishing Publication: August 29, 2016
Imprint: Springer Language: English
Author: Gregor Donaj, Zdravko Kačič
ISBN: 9783319416076
Publisher: Springer International Publishing
Publication: August 29, 2016
Imprint: Springer
Language: English

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.

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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.

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