A Study on Drinking Judgment by the Pitch Analysis of Speech Signal

نویسندگان

  • Hyung-Woo Park
  • Seong-Geon Bae
  • Myung-Jin Bae
چکیده

Abstract— Voice is one of the most important parameter to identify personal data. In this paper we introduce to build an algorithm to determine whether when one is drunken by using the pitch of voice or not. The characteristic parameters of the intoxicated speech signal were extracted by comparing the voices before and after drinking using fast pitch search analysis methods. KeywordIntoxicated voice signal, Intoxication judgment, Pitch of voice, Speech signal processing

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تاریخ انتشار 2015