000 02302nam a2200349za04500
001 17585
008 050703s2011 gw eng d
020 _a9783642195860 99783642195860
082 _a621.382
_b223
100 _aGruhn, Rainer E.
_eauthor.
_935898
245 _aStatistical Pronunciation Modeling for Non-Native Speech Processing
_h[electronic resource] /
_cby Rainer E. Gruhn, Wolfgang Minker, Satoshi Nakamura.
300 _aX, 114 p.
_bonline resource.
490 _aSignals and Communication Technology
490 _x-1860-4862
505 _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.
650 _aEngineering.
_996
650 _aEngineering.
_996
650 _935899
_aPHONOLOGY
650 _935899
_aPHONOLOGY
650 _934045
_aLANGUAGE TRANSLATION AND LINGUISTICS
650 _934044
_aTRANSLATORS (COMPUTER PROGRAMS)
650 _933860
_aSIGNAL, IMAGE AND SPEECH PROCESSING
650 _933838
_aSTATICS FOR ENGINEERING, PHYSICS, COMPUTERS SCIENCE, CHEMISTRY AND EARTH SCIENCES
700 _aMinker, Wolfgang.
_934009
700 _eauthor.
_935900
700 _aNakamura, Satoshi.
_935901
700 _eauthor.
_935900
710 _aSpringerLink (Online service)
_9111
856 _uhttp://springer.escuelaing.metaproxy.org/book/10.1007/978-3-642-19586-0
_yir a documento
_qURL
942 _2ddc
_cCF
999 _c14210
_d14210