Dynamic fixed-point arithmetic design of embedded SVM-Based speaker identification system

Authors:
Jhing-Fa Wang;Ta-Wen Kuan;Jia-Ching Wang;Ta-Wei Sun
Affiliations:
Department of Electrical Engineering, National Cheng Kung University, Tainan City, Taiwan;Department of Electrical Engineering, National Cheng Kung University, Tainan City, Taiwan;Department of Electrical Engineering, National Cheng Kung University, Tainan City, Taiwan;Department of Electrical Engineering, National Cheng Kung University, Tainan City, Taiwan
Venue:
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Year:
2010

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Abstract

This work proposes a dynamic fixed-point arithmetic design for SVM-based speaker identification in embedded environment The whole speaker identification system includes LPCC extraction, SVM training with sequential minimal optimization (SMO), and SVM recognition The proposed dynamic fixed-point design is applied to each arithmetic procedure and fixed-point error analysis is also performed The fixed-point SVM-based speaker identification system have been implemented and evaluated on ARM9 DMA2400 The experimental results show that the speaker identification accuracy is slightly degraded with the proposed dynamic fixed-point technique.