Paper Title:
Embedded Speech Recognition Based on Multiclass Support Vector Machine
  Abstract

This paper introduces the characteristics and requirements of speech recognition technology based on embedded platform. It also describes the basic theory and related properties of Support Vector Machine. The advantages and disadvantages of the Multiclass SVM algorithms are analyzed, providing the algorithms principles for training and recognition of SVM application in the embedded speech recognition system. Finally, we proposed a design strategy based on multiclass SVM decision tree classifier, combined with the features of the embedded speech recognition.

  Info
Periodical
Key Engineering Materials (Volumes 467-469)
Edited by
Dehuai Zeng
Pages
1905-1910
DOI
10.4028/www.scientific.net/KEM.467-469.1905
Citation
J. F. Zhao, Y. P. Zhu, "Embedded Speech Recognition Based on Multiclass Support Vector Machine", Key Engineering Materials, Vols. 467-469, pp. 1905-1910, 2011
Online since
February 2011
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Price
$32.00
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