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

Jhing Fa Wang; Ta Wen Kuan; Jia Ching Wang; Ta Wei Sun

doi:10.1007/978-3-642-13318-3_65

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

Jhing Fa Wang, Ta Wen Kuan, Jia Ching Wang, Ta Wei Sun

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

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.

Original language	English
Title of host publication	Advances in Neural Networks - ISNN 2010 - 7th International Symposium on Neural Networks, ISNN 2010, Proceedings
Pages	524-531
Number of pages	8
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-13318-3_65
State	Published - 2010
Event	7th International Symposium on Neural Networks, ISNN 2010 - Shanghai, China Duration: 6 Jun 2010 → 9 Jun 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	6064 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Symposium on Neural Networks, ISNN 2010
Country/Territory	China
City	Shanghai
Period	6/06/10 → 9/06/10

Keywords

Support vector machine (SVM)
dynamic fixed-point design
linear prediction cepstral coefficient (LPCC)
sequential minimal optimization (SMO)

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10.1007/978-3-642-13318-3_65

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Wang, J. F., Kuan, T. W., Wang, J. C., & Sun, T. W. (2010). Dynamic fixed-point arithmetic design of embedded SVM-based speaker identification system. In Advances in Neural Networks - ISNN 2010 - 7th International Symposium on Neural Networks, ISNN 2010, Proceedings (PART 2 ed., pp. 524-531). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6064 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-13318-3_65

Wang, Jhing Fa ; Kuan, Ta Wen ; Wang, Jia Ching et al. / Dynamic fixed-point arithmetic design of embedded SVM-based speaker identification system. Advances in Neural Networks - ISNN 2010 - 7th International Symposium on Neural Networks, ISNN 2010, Proceedings. PART 2. ed. 2010. pp. 524-531 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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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.",

keywords = "Support vector machine (SVM), dynamic fixed-point design, linear prediction cepstral coefficient (LPCC), sequential minimal optimization (SMO)",

author = "Wang, {Jhing Fa} and Kuan, {Ta Wen} and Wang, {Jia Ching} and Sun, {Ta Wei}",

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booktitle = "Advances in Neural Networks - ISNN 2010 - 7th International Symposium on Neural Networks, ISNN 2010, Proceedings",

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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 Advances in Neural Networks - ISNN 2010 - 7th International Symposium on Neural Networks, ISNN 2010, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 6064 LNCS, pp. 524-531, 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, 6/06/10. https://doi.org/10.1007/978-3-642-13318-3_65

Dynamic fixed-point arithmetic design of embedded SVM-based speaker identification system. / Wang, Jhing Fa; Kuan, Ta Wen; Wang, Jia Ching et al.
Advances in Neural Networks - ISNN 2010 - 7th International Symposium on Neural Networks, ISNN 2010, Proceedings. PART 2. ed. 2010. p. 524-531 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6064 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

KW - Support vector machine (SVM)

KW - dynamic fixed-point design

KW - linear prediction cepstral coefficient (LPCC)

KW - sequential minimal optimization (SMO)

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Wang JF, Kuan TW, Wang JC, Sun TW. Dynamic fixed-point arithmetic design of embedded SVM-based speaker identification system. In Advances in Neural Networks - ISNN 2010 - 7th International Symposium on Neural Networks, ISNN 2010, Proceedings. PART 2 ed. 2010. p. 524-531. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-13318-3_65

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

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