吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (1): 294-300.doi: 10.13229/j.cnki.jdxbgxb201701043

• Orginal Article • Previous Articles     Next Articles

Recognition to specific two words Chinese vocabulary based on projection matrix of spectrogram

LIANG Shi-li1, WEI Ying1, PAN Di1, ZHANG Ling2, XU Ting-fa3, WANG Shuang-wei1   

  1. 1.College of Physics,Northeast Normal University,Changchun 130024,China;
    2.College of Science,Changchun University of Science and Technology,Changchun 130022,China;
    3.Key Laboratory of Photoelectronic Imaging Technology and System of Ministry of Education,Beijing Institute of Technology,Beijing 100081,China
  • Received:2015-05-30 Online:2017-01-20 Published:2017-01-20

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Abstract: In the process of image feature extraction, the image processing technique is applied to the speech recognition. First, equal width zoning line projection and binary width zoning line projection are carried out to the spectrogram, which are taken as the spectrogram of the first characteristic set and the second characteristic set, respectively. Meanwhile, equal width zoning line projection is carried out again to the spectrogram after Fourier transform, treating as the third feature set. Then, the above three feature sets are used as feature vectors to Support Vector Machine (SVM) as a classifier for the overall recognition of specific two words Chinese vocabulary. 1000 voice samples are used in simulation experiment. The results show that the correct recognition rate of this method is 92.8%, and it provides a new way of thinking of Chinese vocabulary overall recognition.

Key words: communication, speech recognition, spectrogram, line projection, support vector machine

CLC Number: 

  • TN912
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