Application of a modified neural fuzzy network and an improved genetic algorithm to speech recognition

被引：0
作者：
K. F. Leung
F. H. F. Leung
H. K. Lam
S. H. Ling
机构：
[1] The Hong Kong Polytechnic University,Centre for Multimedia Signal Processing, Department of Electronic and Information Engineering
[2] King’s College London,Division of Engineering
来源：
Neural Computing and Applications | 2007年 / 16卷
关键词：
Neural network; Genetic algorithm; Fuzzy logic; Speech recognition; Pattern recognition;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper presents the recognition of speech commands using a modified neural fuzzy network (NFN). By introducing associative memory (the tuner NFN) into the classification process (the classifier NFN), the network parameters could be made adaptive to changing input data. Then, the search space of the classification network could be enlarged by a single network. To train the parameters of the modified NFN, an improved genetic algorithm is proposed. As an application example, the proposed speech recognition approach is implemented in an eBook experimentally to illustrate the design and its merits.
引用
收藏
页码：419 / 431
页数：12
相关论文
共 26 条
  • [1] Lee T(2002)Spoken language resources for Cantonese speech processing Speech Commun 36 327-342
  • [2] Lo WK(2004)Optimal and stable fuzzy controllers for uncertain nonlinear systems based on an improved genetic algorithm IEEE Trans Ind Electron 51 172-182
  • [3] Ching PC(2000)Optimal design for fuzzy controllers by genetic algorithms IEEE Trans Ind Appl 36 93-97
  • [4] Meng H(2000)Genetic reinforcement learning through symbiotic evolution for fuzzy controller design IEEE Trans Syst Man Cybern Part B 30 290-302
  • [5] Leung FHF(2000)Genetic algorithm for the design of a class of fuzzy controllers: an alternative approach IEEE Trans Fuzzy Syst 8 398-405
  • [6] Lam HK(2000)Fuzzy dynamic path planning using genetic algorithms Electron Lett 36 374-376
  • [7] Ling SH(2000)Soft computing for greenhouse climate control IEEE Trans Fuzzy Syst 8 753-760
  • [8] Tam PKS(2000)GA-fuzzy modeling and classification: complexity and performance IEEE Trans Fuzzy Syst 8 509-522
  • [9] Zhou YS(1994)Genetic algorithms: a survey IEEE Comput 27 17-26
  • [10] Lai LY(undefined)undefined undefined undefined undefined-undefined
123