Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Study on Phoneme Recognition using Neural Networks and Fuzzy logic

신경망과 퍼지논리를 이용한 음소인식에 관한 연구

  • Han, Jung-Hyun (Department of Electrical Engineering Kongju National University) ;
  • Choi, Doo-Il (Department of Electrical Engineering Kongju National University)
  • Published : 1998.07.20
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Abstract

This paper deals with study of Fast Speaker Adaptation Type Speech Recognition, and to analyze speech signal efficiently in time domain and time-frequency domain, utilizes SCONN[1] with Speech Signal Process suffices for Fast Speaker Adaptation Type Speech Recognition, and examined Speech Recognition to investigate adaptation of system, which has speech data input after speaker dependent recognition test.

Keywords