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This work explores the utility of the Hilbert Spectrum (HS) of the speech signal, constructed from its AM-FM components, or Intrinsic Mode Functions (IMFs), in characterizing speakers for the task of Text-Dependent Speaker Verification (TDSV). The IMFs of the speech signal are obtained using a non-linear and non-stationary data analysis technique called Modified Empirical Mode Decomposition (MEMD)...
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