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005			20230102112652.0
006			m o d
007			cr cnu|||unuuu
008			170113t20172017sz a ob 000 0 eng d
020			_a3319492209 _q(electronic book)
020			_a9783319492209 _q(electronic book)
020			_z3319492195 _q(paper)
020			_z9783319492193 _q(paper)
035			_a(OCoLC)968243567 _z(OCoLC)968767113 _z(OCoLC)974649669 _z(OCoLC)981819227 _z(OCoLC)1005756328 _z(OCoLC)1011794915
040			_aN$T _cN$T _dGW5XE _dN$T _dIDEBK _dEBLCP _dYDX _dUAB _dNJR _dMERUC _dOCLCF _dWAU _dUPM _dIOG _dESU _dZ5A _dJBG _dIAD _dICW _dICN _dOTZ _dOCLCQ _dVT2 _dIDB _dU3W _dES-MaUEC _bspa
050		4	_aTK7895.S65 _bR365 2017 EB
100	1		_aRao, K. Sreenivasa _q(Krothapalli Sreenivasa), _eautor _9671145
245	1	0	_aSpeech recognition using articulatory and excitation source features _cK. Sreenivasa Rao, Manjunath K.E.
264		1	_aCham, Switzerland _bSpringer _c[2017]
264		4	_c2017
300			_a1 recurso en línea (92 páginas) _bilustraciones
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aSpringerBriefs in electrical and computer engineering. Speech technology
500			_aSpringerLink
504			_aIncluye referencias bibliográficas
505	0		_aIntroduction -- Literature Review -- Articulatory Features for Phone Recognition -- Excitation Source Features for Phone Recognition -- Articulatory and Excitation Source Features for Speech Recognition in Read, Extempore and Conversation Modes -- Conclusion -- Appendix A: MFCC Features -- Appendix B: Pattern Recognition Models.
520	3		_a"This book discusses the contribution of articulatory and excitation source information in discriminating sound units. The authors focus on excitation source component of speech -- and the dynamics of various articulators during speech production -- for enhancement of speech recognition (SR) performance. Speech recognition is analyzed for read, extempore, and conversation modes of speech. Five groups of articulatory features (AFs) are explored for speech recognition, in addition to conventional spectral features. Each chapter provides the motivation for exploring the specific feature for SR task, discusses the methods to extract those features, and finally suggests appropriate models to capture the sound unit specific knowledge from the proposed features. The authors close by discussing various combinations of spectral, articulatory and source features, and the desired models to enhance the performance of SR systems"--Provided by publisher.
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017B
650		7	_aIdentificación de personas _2embne _0(OCoLC)fst00822769 _0 _9679662
700	0		_aManjunath K. E., _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-49220-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2018 _dz _e- _zSI