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In this paper, a two-layer Gaussian Mixed Model (GMM) structure for Vector Taylor Series (VTS) feature compensation is proposed for robust speech recognition. Since GMM with the numerous mixture components is used for VTS, the computation complexity of VTS is extremely huge. To deal with this issue, we propose two-layer GMM structure for VTS. In detail, the GMM with fewer mixture components is utilized...
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