Advanced Search
Volume 20 Issue 2
Mar.  1998
Turn off MathJax
Article Contents
Mei Yonng, Wang Qunsheng, Xu Bingzheng . CONSONANT RECOGNITION BASED ON FUZZY NEURAL NETWORK[J]. Journal of Electronics & Information Technology, 1998, 20(2): 188-193.
Citation: Mei Yonng, Wang Qunsheng, Xu Bingzheng . CONSONANT RECOGNITION BASED ON FUZZY NEURAL NETWORK[J]. Journal of Electronics & Information Technology, 1998, 20(2): 188-193.

CONSONANT RECOGNITION BASED ON FUZZY NEURAL NETWORK

  • Received Date: 1996-10-17
  • Rev Recd Date: 1997-08-29
  • Publish Date: 1998-03-19
  • Conventional template matching technique is a successfully used algorithm in Chinese consonant recognition, yet its disadvantage limits its recovery of error,improvement of performance. The hybrid system based on the combination of neural network(NN) and fuzzy system maintains their advantages and makes full use of error tolerence performance, calculation performance, classification performance and decision performance for fuzzy neural network. In this paper, two kinds of cosonant recognition schemes based on fuzzy neural network are studied in detail. From the discussion of their structure, recognition rate and characteristics, it can be seen that recognition performance of fuzzy neural network is superior to template matching scheme and thus is more suitable for speech recognition.
  • loading
  • Tatsuo MATSUOKA. Syllable Recognition Using Integrated Neural Networks. in Proceedings of the[2]IJCNN-89, Tokyo: 1989, June: 251-258.[3]Matsuoka T, Hamada H, Nakatsu R. A Study on Integrated Neural Networks for Syllable Recognition. Proc. ASJ Fall Meeting, Tokyo: 1988, October: 2-16.[4]吴立忠.汉语普通话辅音分类的研究:[硕士论文].华南理工大学无线电系,1986.[5]Waibel A, et al. Phoneme Recognition: Neural Networks vs Hidden Markov Models. in Proc. of ICASSP88, New York: 1988, April: 107-110.[6]Berenji H. A reiforcement larrg-based architecture for fuzzy logic control. Int1, J. Approx. Reason-[7]ing, 1992, 6(2): 261-292.[8]Huntsberger T, Ajjimarangsee P. Parallel self-organizing feature maps for unsupervised pattern recog-[9]nition. Int1. J. General Sys., 1990, 10(16): 261-292.[10]Aikawa K, et al. Automatic Generation of Consonant Discrimination Rules. in Proc, of ICASSP86, Tokyo: 1986, April: 2755-2758.[11]诸静,等.模糊控制原理与应用.北京:机械工业出版社,1995,194-312.[12]Carpenter G A, Grossberg S, Rosen D B. Fuzzy ART:Fast stable learning and categorization of analog pattern by an adaptive resonance system[J].Neural Networks.1991, 4(6):759-772
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (1935) PDF downloads(398) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return