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Glottal inverse filtering by joint estimation of an AR system with a linear input model

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1 Author(s)
P. Milenkovic ; University of Wisconsin-Madison, Madison, WI

Glottal inverse filtering is a technique by which the flow past the time varying glottal constriction is estimated by a filtering operation on the acoustic signal in human speech. The filtering operation removes the effects of the vocal tract resonances to reveal the underlying voice source signal. A linear model of a glottal pulse waveform is described along with a procedure for jointly determining an AR model of the vocal tract response together with the parameters of the glottal pulse model. This technique is applied to inverse filtering in human speech and the results are compared to covariance method LPC analysis.

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IEEE Transactions on Acoustics, Speech, and Signal Processing  (Volume:34 ,  Issue: 1 )