| 书目名称 | Statistical Pronunciation Modeling for Non-Native Speech Processing |
| 编辑 | Rainer E. Gruhn,Wolfgang Minker,Satoshi Nakamura |
| 视频video | |
| 概述 | Presents a new methodology for speech recognition of non-native speakers.Shows a proven and verified approach.Includes supplementary material: |
| 丛书名称 | Signals and Communication Technology |
| 图书封面 |  |
| 描述 | .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 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.. |
| 出版日期 | Book 2011 |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-19586-0 |
| isbn_softcover | 978-3-642-26814-4 |
| isbn_ebook | 978-3-642-19586-0Series ISSN 1860-4862 Series E-ISSN 1860-4870 |
| issn_series | 1860-4862 |
| copyright | Springer-Verlag Berlin Heidelberg 2011 |
发表于 2025-3-21 18:03:43
