NONLINEAR STATISTICS OF HUMAN SPEECH DATA

作者:Brown Kenneth A*; Knudson Kevin P
来源:International Journal of Bifurcation and Chaos, 2009, 19(7): 2307-2319.
DOI:10.1142/S0218127409024086

摘要

We study the structure of point clouds obtained as time delay embeddings of human speech signals by approximating the data sets with certain simplicial complexes and analyzing their persistent homology. Results for several different sounds are presented in embedding dimensions 3 and 4. The first Betti number allows a coarse classification of sounds into three groups: vowels, nasals and noise.

  • 出版日期2009-7