Fractal aspects of speech signals: dimension and interpolation

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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 http://hdl.handle.net/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

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