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008			220601s2013 sz | s |||| 0|eng d
020			_a9783031025624
024	7		_a10.1007/978-3-031-02562-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK7882.S65 _b2013 EB
100	1		_aHori, Takaaki _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687749
245	1	0	_aSpeech Recognition Algorithms Based on Weighted Finite-State Transducers _cby Takaaki Hori, Atsushi Nakamura
250			_a1st edition 2013
264		1	_aCham _bSpringer International Publishing _c2013
300			_a1 recurso en línea (XII, 150 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Speech and Audio Processing _x1932-1678
505	0		_aIntroduction -- Brief Overview of Speech Recognition -- Introduction to Weighted Finite-State Transducers -- Speech Recognition by Weighted Finite-State Transducers -- Dynamic Decoders with On-the-fly WFST Operations -- Summary and Perspective.
520			_aThis book introduces the theory, algorithms, and implementation techniques for efficient decoding in speech recognition mainly focusing on the Weighted Finite-State Transducer (WFST) approach. The decoding process for speech recognition is viewed as a search problem whose goal is to find a sequence of words that best matches an input speech signal. Since this process becomes computationally more expensive as the system vocabulary size increases, research has long been devoted to reducing the computational cost. Recently, the WFST approach has become an important state-of-the-art speech recognition technology, because it offers improved decoding speed with fewer recognition errors compared with conventional methods. However, it is not easy to understand all the algorithms used in this framework, and they are still in a black box for many people. In this book, we review the WFST approach and aim to provide comprehensive interpretations of WFST operations and decoding algorithms to help anyone who wants to understand, develop, and study WFST-based speech recognizers. We also mention recent advances in this framework and its applications to spoken language processing. Table of Contents: Introduction / Brief Overview of Speech Recognition / Introduction to Weighted Finite-State Transducers / Speech Recognition by Weighted Finite-State Transducers / Dynamic Decoders with On-the-fly WFST Operations / Summary and Perspective.
988			_aSynthesis Collection of Technology_2013
650		7	_2embne _9147323 _aReconocimiento automático del lenguaje
650		7	_2embne _9666075 _aLingüística computacional
650		7	_2embne _9140352 _aTransductores
700	1		_aNakamura, Atsushi, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687750 _d1963-
776	0	8	_iPrinted edition: _z9783031014345
776	0	8	_iPrinted edition: _z9783031036903
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02562-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _esc _zSI