[PDF.58lo] Statistical Pronunciation Modeling for Non-Native Speech Processing (Signals and Communication Technology)
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Statistical Pronunciation Modeling for Non-Native Speech Processing (Signals and Communication Technology)
Rainer E. Gruhn, Wolfgang Minker, Satoshi Nakamura
[PDF.le58] Statistical Pronunciation Modeling for Non-Native Speech Processing (Signals and Communication Technology)
Statistical Pronunciation Modeling for Rainer E. Gruhn, Wolfgang Minker, Satoshi Nakamura epub Statistical Pronunciation Modeling for Rainer E. Gruhn, Wolfgang Minker, Satoshi Nakamura pdf download Statistical Pronunciation Modeling for Rainer E. Gruhn, Wolfgang Minker, Satoshi Nakamura pdf file Statistical Pronunciation Modeling for Rainer E. Gruhn, Wolfgang Minker, Satoshi Nakamura audiobook Statistical Pronunciation Modeling for Rainer E. Gruhn, Wolfgang Minker, Satoshi Nakamura book review Statistical Pronunciation Modeling for Rainer E. Gruhn, Wolfgang Minker, Satoshi Nakamura summary
| 2013-07-14 | Original language:English | PDF # 1 | 9.21 x.27 x6.14l,.43 | File type: PDF | 114 pages||From the Back Cover||In 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 pho
In 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 pr...
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