000			03133cam a2200409Ii 4500
001			94537
003			ES-MaUEC
005			20230102112618.0
006			m o d
007			cr cnu---unuuu
008			160903t20172017sz a ob 000 0 eng d
020			_a3319416073 _q(electronic book)
020			_a9783319416076 _q(electronic book)
020			_z3319416057 _q(paperback)
020			_z9783319416052 _q(paperback)
035			_a(OCoLC)957700236 _z(OCoLC)957636157 _z(OCoLC)957738436 _z(OCoLC)961413888
040			_aEBLCP _cEBLCP _dYDX _dOCLCO _dN$T _dIDEBK _dN$T _dGW5XE _dOCLCF _dAZU _dOCLCQ _dIDB _dUAB _dWAU _dIOG _dESU _dZ5A _dJBG _dIAD _dICW _dICN _dOCLCQ _dU3W _dMERUC _dES-MaUEC _bspa
050		4	_aTK7895.S65 _bD663 2017 EB
100	1		_aDonaj, Gregor, _eautor
245	1	0	_aLanguage modeling for automatic speech recognition of inflective languages : _ban applications-oriented approach using lexical data _cGregor Donaj, Zdravko Kačič.
264		1	_aSwitzerland _bSpringer _c[2017]
264		4	_c2017
300			_a1 recurso en línea (71 páginas) _bilustraciones
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aSpringerBriefs in electrical and computer engineering. Speech technology
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
504			_aIncluye referencias bibliográficas
505	0		_a1. Introduction -- 2. Speech Recognition in Inflective Languages -- 3. Performance Evaluation Using Lexical Data -- 4. Application Oriented Language Modeling -- 5. An Example Application.
520	3		_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"--Provided by publisher.
650		7	_aIdentificación de personas _2embne _0(OCoLC)fst00822769 _0 _9679662
700	1		_aKačič, Zdravko, _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-41607-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017A
998			_b02/2018 _dz _e- _zSI
999			_c94537 _d94537 _x1