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- W2013417005 abstract "This paper describes a new approach to speaker classification, based on using an SVM classifier over the GMM models space. Adaptation of a speaker-independent GMM universal background model with speaker specific data creates a speaker-dependent GMM model. The vector representation of this model is used by an SVM classifier to recognize the speaker. When used with multiple, channel-specific background models, this scheme has the potential to improve speaker recognition performance in channel mismatch conditions. Performance improvement is demonstrated over a multi-channel corpus, as well as over the NIST 2004 evaluation data" @default.
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- W2013417005 date "2006-06-01" @default.
- W2013417005 modified "2023-09-25" @default.
- W2013417005 title "SVM-based Speaker Classification in the GMM Models Space" @default.
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- W2013417005 doi "https://doi.org/10.1109/odyssey.2006.248138" @default.
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