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Content Provider | IEEE Xplore Digital Library |
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Author | Hong Wei Yuanyuan Pu Jian Yang |
Copyright Year | 2010 |
Description | Author affiliation: School of Information Science and Technology, Yunnan University, Kunming, 650091, China (Hong Wei; Yuanyuan Pu; Jian Yang) |
Abstract | Speaker adaptation is a powerful means of improving the performance of speaker-independent non-native speech recognition system. Based on Yunnan minority Naxi and Lisu accent speech, non-native mandarin speech recognition was implemented applying general speaker adaptation MLLR, MAP and multi-pronunciation dictionary adaptation. In our experiments, the different configuration of feature and methods is discussed. These approaches have been shown to be effective by the experimental results. |
Starting Page | 2024 |
Ending Page | 2027 |
File Size | 214426 |
Page Count | 4 |
File Format | |
ISBN | 9781424459582 |
e-ISBN | 9781424459612 |
DOI | 10.1109/ICNC.2010.5584305 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-08-10 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | MLLR Dictionaries Adaptation model HMM Acoustics multi-pronunciation dictionary adaptation speaker adaptation Training Hidden Markov models Speech recognition Speech MAP non-native speech recognition |
Content Type | Text |
Resource Type | Article |
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