Voice and Unvoiced Classification Using Fuzzy Logic
نویسندگان
چکیده
In this paper, we proposed a system for automatic classification of speech. A speech signal contains three different regions voiced, unvoiced and silence. In the proposed system, Zero-Crossing rate and short term energy are used in a fuzzy logic control this classification. Arabic digits of the KSU database is used to test our proposed method. The proposed method achieves 2.5 % error between human classification and automatic classification using this method.
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