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- W1915693853 abstract "In this paper is reported a comparison among the learning vector quantization (LVQ) and two other common approaches to text-independent speaker recognition, namely Gaussian mixture models (GMM) and vector quantization (VQ). The LVQ method uses neural nets. The results shows that it is less efficient in terms of recognition scores than the GMM." @default.
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- W1915693853 date "2002-11-27" @default.
- W1915693853 modified "2023-10-18" @default.
- W1915693853 title "Learning vector quantization in text-independent automatic speaker recognition" @default.
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- W1915693853 doi "https://doi.org/10.1109/sbrn.1998.731010" @default.
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