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- W1552057631 abstract "This paper presents a ubiquitous and robust text-independent speaker recognitionarchitecture for home automation digital life. In this architecture, a multiple microphone configuration is adopted to receive the pervasive speech signals. The multi-channel speech signals are then added together with a mixer. In a ubiquitous computing environment, the received speech signal is usually heavily corrupted by background noises. An SNR-aware subspace speech enhancement approach is used as a pre-processing to enhance the mixed signal. Considering the text-independent speaker recognition, this paper applies a multi-class support vectors machine (SVM)[10][11] instead of conventional Gaussian mixture models (GMMs)[12]. In our experiments, the speaker recognition rate can averagely reach 97.2% with the proposed ubiquitous speaker recognitionarchitecture." @default.
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- W1552057631 date "2008-08-12" @default.
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- W1552057631 title "Ubiquitous and Robust Text-Independent Speaker Recognition for Home Automation Digital Life" @default.
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- W1552057631 doi "https://doi.org/10.1007/978-3-540-69293-5_24" @default.
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