東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Language modeling for automatic spee...

Donaj, Gregor.

FindBook

Google Book

Amazon

博客來

Language modeling for automatic speech recognition of inflective languages = an applications-oriented approach using lexical data /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Language modeling for automatic speech recognition of inflective languages/ by Gregor Donaj, Zdravko Kacic.
其他題名:	an applications-oriented approach using lexical data /
作者:	Donaj, Gregor.
其他作者:	Kacic, Zdravko.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	viii, 71 p. :ill., digital ;24 cm.
內容註:	Introduction -- Speech Recognition in Inflective Languages -- Performance Evaluation Using Lexical Data -- Application Oriented Language Modeling -- An Example Application -- Conclusion.
Contained By:	Springer eBooks
標題:	Automatic speech recognition. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-41607-6
ISBN:	9783319416076

Language modeling for automatic speech recognition of inflective languages = an applications-oriented approach using lexical data /
Donaj, Gregor.

Language modeling for automatic speech recognition of inflective languagesan applications-oriented approach using lexical data /[electronic resource] :by Gregor Donaj, Zdravko Kacic. - Cham :Springer International Publishing :2017. - viii, 71 p. :ill., digital ;24 cm. - SpringerBriefs in electrical and computer engineering, Speech technology,2191-8112. - SpringerBriefs in electrical and computer engineering.Speech technology..

Introduction -- Speech Recognition in Inflective Languages -- Performance Evaluation Using Lexical Data -- Application Oriented Language Modeling -- An Example Application -- Conclusion.

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. 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 performance of a speech recognition system Presents examples of language modeling to maximize the performance of a speech recognition system Provides techniques for analyzing errors and identifying their sources in a speech recognition system from a lexical point of view rather than acoustic point of view.

ISBN: 9783319416076

Standard No.: 10.1007/978-3-319-41607-6doiSubjects--Topical Terms:

753709
Automatic speech recognition.

LC Class. No.: TK7895.S65

Dewey Class. No.: 006.454

Language modeling for automatic speech recognition of inflective languages = an applications-oriented approach using lexical data /
LDR:02924nmm a2200349 a 4500 001 2087607
003 DE-He213
005 20160829130207.0
006 m d
007 cr nn 008maaau
008 171013s2017 gw s 0 eng d
020 $a 9783319416076 $q (electronic bk.)
020 $a 9783319416052 $q (paper)
024 7 $a 10.1007/978-3-319-41607-6 $2 doi
035 $a 978-3-319-41607-6
040 $a GP $c GP
041 0 $a eng
050 4 $a TK7895.S65
072 7 $a TTBM $2 bicssc
072 7 $a UYS $2 bicssc
072 7 $a TEC008000 $2 bisacsh
072 7 $a COM073000 $2 bisacsh
082 0 4 $a 006.454 $2 23
090 $a TK7895.S65 $b D674 2017
100 1 $a Donaj, Gregor. $3 3216622
245 1 0 $a Language modeling for automatic speech recognition of inflective languages $h [electronic resource] : $b an applications-oriented approach using lexical data / $c by Gregor Donaj, Zdravko Kacic.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a viii, 71 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in electrical and computer engineering, Speech technology, $x 2191-8112
505 0 $a Introduction -- Speech Recognition in Inflective Languages -- Performance Evaluation Using Lexical Data -- Application Oriented Language Modeling -- An Example Application -- Conclusion.
520 $a 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. 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 performance of a speech recognition system Presents examples of language modeling to maximize the performance of a speech recognition system Provides techniques for analyzing errors and identifying their sources in a speech recognition system from a lexical point of view rather than acoustic point of view.
650 0 $a Automatic speech recognition. $3 753709
650 1 4 $a Engineering. $3 586835
650 2 4 $a Signal, Image and Speech Processing. $3 891073
650 2 4 $a Language Translation and Linguistics. $3 892561
650 2 4 $a Computational Linguistics. $3 893900
700 1 $a Kacic, Zdravko. $3 3216623
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in electrical and computer engineering. $p Speech technology. $3 1569788
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-41607-6
950 $a Engineering (Springer-11647)