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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ying Xu Yan Song Yan-Hua Long Hai-Bing Zhong Li-Rong Dai |
| Copyright Year | 2010 |
| Description | Author affiliation: iFlyTek Speech Lab, EEIS, University of Science and Technology of China, Hefei, 230027, China (Ying Xu; Yan Song; Yan-Hua Long; Hai-Bing Zhong; Li-Rong Dai) |
| Abstract | In this paper, we present a description of the iFlyTek Speech Lab system for NIST 2009 LRE (Language Recognition Evaluation). The system consists of acoustic systems (i.e. GMM-MMI and GMM-SVM) and phonotactic systems (i.e. PPR 4-gram LM and PPR 3-gram SVM). First, we describe several state-of-the-art techniques applied in our language recognition system, such as FA (Factor Analysis), MMI (Maximum Mutual Information), and generative and discriminative LM (Language Modelling) techniques etc. Then, we will discuss our data preprocessing techniques for handling large amount training and development data, and the mismatch among different languages, genders and channels. Finally, the evaluation results for NIST2009's tasks and detailed analysis are given for 30, 10 and 3 seconds durations. |
| Starting Page | 157 |
| Ending Page | 161 |
| File Size | 200047 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424462445 |
| e-ISBN | 9781424462469 |
| DOI | 10.1109/ISCSLP.2010.5684492 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-11-29 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Training Support vector machines Phonotactic System Acoustic Systems Channel Compensation Adaptation model Hidden Markov models NIST Speech Acoustics NIST2009 LRE |
| Content Type | Text |
| Resource Type | Article |
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