DSP-based fuzzy neural network and its application in speech recognition

Shin Chyan Chen*, Chen Chien Hsu, Wei Yen Wang

*此作品的通信作者

研究成果: 雜誌貢獻會議論文同行評審

1 引文 斯高帕斯(Scopus)

摘要

A fuzzy-neural network needs to be trained through a learning process, so that suitable membership functions and weightings can be obtained. However, most neural networks are only simulated by computer software, which are not practical for real applications. It is therefore our objective to design an integrated circuit system based on a DSP processor with powerful arithmetical capabilities and fast data processing, and relevant peripheral devices to implement the fuzzy-neural network. In terms of implementation cost and feasibility for practical applications, this DSP-based fuzzy-neural network will be more practical and usable. Finally, a prospective application of the DSP-processor-based fuzzy neural network to recognize speech from a non-designated person is proposed.

原文英語
頁(從 - 到)VI-110 - VI-113
期刊Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
6
出版狀態已發佈 - 1999
對外發佈
事件1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn
持續時間: 1999 十月 121999 十月 15

ASJC Scopus subject areas

  • 控制與系統工程
  • 硬體和架構

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