Voiced/Unvoiced Detection using Short Term Processing
نویسندگان
چکیده
A new method for identifying voiced and unvoiced speech region is proposed. Voiced/unvoiced speech detection is needed to extract information from the speech signal and it is important in the area of speech analysis. Voiced and unvoiced speech region has been identified using Short Term Processing (STP) in this paper. Short Term Processing of speech has been performed by viewing the speech signal in frames, which has a size of 10-30ms. Short Term Processing has been performed in both time domain and frequency domain. Short Term Energy (STE), Short Term Zero Crossing Rate (STZCR) and Short Term Autocorrelation (STA) are computed from the time domain processing of speech. The spectral components in the
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