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The GMM classifier for pattern recognition has shown increased intention in many applications such as speaker verification and identification. Such classifier requires a large storage and complex processing units but improved in performances. The performances of the GMM and its hardware complexity are analyzed in this paper. FPGA-based hardware implementation of the Log-Add algorithm is presented...
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