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VLSI DESIGN FOR SVM-BASED SPEAKER VERIFICATION SYSTEM
ABSTRACT:
This brief presents the chip implementation of a support vector machine (SVM)-based
speaker verification system. The proposed chip comprises a speaker feature extraction (SFE)
module, an SVM module, and a decision module. The SFE module performs autocorrelation
analysis, linear predictive coefficient (LPC) extraction, and LPC-to-cepstrum conversion. The
SVM module includes a Gaussian kernel unit and a scaling unit. The purpose of the Gaussian
kernel unit is first to evaluate the kernel value of a test vector and a support vector. Four
Gaussian kernel processing elements (GK-PEs) are designed to process four support vectors
simultaneously. Each GK-PE is designed in the pipeline fashion and is capable of performing 2-
norm and exponential operations. An enhanced CORDIC architecture is proposed to calculate
the exponential value. As well as the Gaussian kernel unit, a scaling unit is also developed for
use in the SVM module. The scaling unit is used to perform scaling multiplications and the
remaining operations of SVM decision value evaluation. Finally, the decision module
accumulates the frame scores that are generated by all of the test frames, and then compare it
with a threshold to see if the test utterance is spoken by the claimed speaker. This designed chip
is characterized by its high speed and its ability to handle a large number of support vectors in
the SVM. The prototype chip is a semicustom chip that is fabricated using Taiwan
Semiconductor Manufacturing Company 0.90-nm CMOS technology on a die with a size of
∼7.9 × 7.9 mm2 .

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Vlsi design for svm based speaker verification system

  • 1. VLSI DESIGN FOR SVM-BASED SPEAKER VERIFICATION SYSTEM ABSTRACT: This brief presents the chip implementation of a support vector machine (SVM)-based speaker verification system. The proposed chip comprises a speaker feature extraction (SFE) module, an SVM module, and a decision module. The SFE module performs autocorrelation analysis, linear predictive coefficient (LPC) extraction, and LPC-to-cepstrum conversion. The SVM module includes a Gaussian kernel unit and a scaling unit. The purpose of the Gaussian kernel unit is first to evaluate the kernel value of a test vector and a support vector. Four Gaussian kernel processing elements (GK-PEs) are designed to process four support vectors simultaneously. Each GK-PE is designed in the pipeline fashion and is capable of performing 2- norm and exponential operations. An enhanced CORDIC architecture is proposed to calculate the exponential value. As well as the Gaussian kernel unit, a scaling unit is also developed for use in the SVM module. The scaling unit is used to perform scaling multiplications and the remaining operations of SVM decision value evaluation. Finally, the decision module accumulates the frame scores that are generated by all of the test frames, and then compare it with a threshold to see if the test utterance is spoken by the claimed speaker. This designed chip is characterized by its high speed and its ability to handle a large number of support vectors in the SVM. The prototype chip is a semicustom chip that is fabricated using Taiwan Semiconductor Manufacturing Company 0.90-nm CMOS technology on a die with a size of ∼7.9 × 7.9 mm2 .