Automatic language identification based on Gaussian mixture model and universal background model

Dan Qu; Bingxi Wang; Xin Wei

doi:10.1117/12.538980

25 September 2003 Automatic language identification based on Gaussian mixture model and universal background model

Dan Qu, Bingxi Wang, Xin Wei

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538980
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

Abstract

When compared with speech technologies in speech processing, automatic language identification is a relatively new yet difficult problem. In this paper, a language identification algorithm is provided and some experiments are conducted using OGI multi-language telephone speech corpus (OGI-TS). Then experiments results are described. It is shown that GMM-UBM is another efficient method to language identification problems.

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Dan Qu, Bingxi Wang, and Xin Wei "Automatic language identification based on Gaussian mixture model and universal background model", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538980

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