Fractal aspects of speech signals: dimension and interpolation

Maragos, P

dc.contributor.author	Maragos, P	en
dc.date.accessioned	2014-03-01T02:47:58Z
dc.date.available	2014-03-01T02:47:58Z
dc.date.issued	1991	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33471
dc.subject	Air Flow	en
dc.subject	Efficient Algorithm	en
dc.subject	Fractal Dimension	en
dc.subject	Nonlinear Dynamics	en
dc.subject	Sound Classification	en
dc.subject	Speech Production	en
dc.subject	Speech Segmentation	en
dc.title	Fractal aspects of speech signals: dimension and interpolation	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICASSP.1991.150365	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICASSP.1991.150365	en
heal.publicationDate	1991	en
heal.abstract	The nonlinear dynamics of air flow during speech production may often result in some small or large degree of turbulence. The author quantifies the geometry of speech turbulence, as reflected in the fragmentation of the time signal, by using fractal models. He describes an efficient algorithm for estimating the short-time fractal dimension of speech segmentation and sound classification. He also	en
heal.journalName	International Conference on Acoustics, Speech, and Signal Processing	en
dc.identifier.doi	10.1109/ICASSP.1991.150365	en