000 02591nam a22003975i 4500
001 302742
003 MX-SnUAN
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007 cr nn 008mamaa
008 150903s2011 gw | o |||| 0|eng d
020 _a9783642195860
_99783642195860
024 7 _a10.1007/9783642195860
_2doi
035 _avtls000356650
039 9 _a201509030551
_bVLOAD
_c201405060408
_dVLOAD
_y201402191224
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTK5102.9
100 1 _aGruhn, Rainer E.
_eautor
_9341125
245 1 0 _aStatistical Pronunciation Modeling for Non-Native Speech Processing /
_cby Rainer E. Gruhn, Wolfgang Minker, Satoshi Nakamura.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2011.
300 _ax, 114 páginas
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aSignals and Communication Technology,
_x1860-4862
500 _aSpringer eBooks
505 0 _aIntroduction -- Automatic Speech Recognition -- Properties of Non-native Speech -- Pronunciation Variation Modeling in the Literature -- Non-native Speech Database -- Handling Non-native Speech -- Pronunciation HMMs.
520 _aIn this work, the authors present a fully statistical approach to model non--native speakers' pronunciation. Second-language speakers pronounce words in multiple different ways compared to the native speakers. Those deviations, may it be phoneme substitutions, deletions or insertions, can be modelled automatically with the new method presented here. The methods is based on a discrete hidden Markov model as a word pronunciation model, initialized on a standard pronunciation dictionary. The implementation and functionality of the methodology has been proven and verified with a test set of non-native English in the regarding accent. The book is written for researchers with a professional interest in phonetics and automatic speech and speaker recognition.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aMinker, Wolfgang.
_eautor
_9303483
700 1 _aNakamura, Satoshi.
_eautor
_9305637
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783642195853
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-19586-0
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999 _c302742
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