AZERBAIJAN NATIONAL ACADEMY OF SCIENCES
FEATURE VECTOR EXTRACTION METHOD FOR SPEAKER RECOGNITION SYSTEMS (rus.)
Yadigar N.İmamverdiyev, Lyudmila V.Suxostat

Development of methods increasing the accuracy of speaker recognition system is the main objective of the research. Feature vector extraction is one of the most important stages of speaker recognition system. In this paper we propose a feature extraction method based on Hilbert-Huang transform considering instability and non-linearity of human speech. (pp. 14-19)

Keywords: speaker recognition, speech feature extraction, Hilbert-Huang transform, Intrinsic Mode Function
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