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Dynamic Fixed-Point Arithmetic Design of Embedded SVM-Based Speaker Identification System

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6064))

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.

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© 2010 Springer-Verlag Berlin Heidelberg

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Wang, JF., Kuan, TW., Wang, JC., Sun, TW. (2010). Dynamic Fixed-Point Arithmetic Design of Embedded SVM-Based Speaker Identification System. In: Zhang, L., Lu, BL., Kwok, J. (eds) Advances in Neural Networks - ISNN 2010. ISNN 2010. Lecture Notes in Computer Science, vol 6064. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13318-3_65

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  • DOI: https://doi.org/10.1007/978-3-642-13318-3_65

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13317-6

  • Online ISBN: 978-3-642-13318-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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