Abstract
Introduced the Hilbert-Huang transform (HHT) algorithm for nonlinear and non-stationary signal analysis. Specially to non-stationary speech signals, a new method of extracting the speech feature parameters is offered based on the HHT. The speaker identification system is designed based on the VQ and the experiments are carried out at different situations with both HHT-IF and LPCC. The results show that the HHT-IF is feasible for speaker recognition.
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