YANG Jinchao, ZHANG Xiang, SUO Hongbin, WANG Junjie, YAN Yonghong. Language Recognition with Language Total Variability[J]. Chinese Journal of Electronics, 2012, 21(1): 97-101.
Citation: YANG Jinchao, ZHANG Xiang, SUO Hongbin, WANG Junjie, YAN Yonghong. Language Recognition with Language Total Variability[J]. Chinese Journal of Electronics, 2012, 21(1): 97-101.

Language Recognition with Language Total Variability

  • Received Date: 2011-05-01
  • Rev Recd Date: 2011-08-01
  • Publish Date: 2012-01-05
  • In this paper, we try to introduce the idea of total variability used in speaker recognition to language recognition. In language total variability, we propose two new recognition systems, Language-independent total variability recognition system (LITV) and Languagedependent total variability recognition system (LDTV). Our experiments show that language-independent total factor vector includes the language dependent information, what's more, language-dependent total factor vector contains more language dependent information. These two systems LITV and LDTV can achieve performance similar to that obtained with state-of-the-art approaches. Experiment results on 2007 National Institute of Standards and Technology (NIST) Language Recognition Evaluation (LRE) databases show LDTV gains relative improvement in Equal error rate (EER) of 23.2% and in minimum Decision cost value (minDCF) of 14.2% comparing to LITV in 30-second tasks, and we can obtain further improvement by combining these two new systems with state-of-the-art systems. It leads to relative improvement of 21.1% in EER and 23.1% in minDCF comparing with the performance of the combination of the MMI and the GMM-SVM systems.
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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