The wigner distribution in speech processing applications |
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| Authors: | David Chester Fred J Taylor Mike Doyle |
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| Institution: | Harris Corporation GDCD, P.O. Box 91000, Melbourne, Florida 32902, USAU.S.A.;Department of Electrical Engineering, University of Florida, Gainsville, Florida 32611, USAU.S.A.;Cincinnati Electronics, Cincinnati, Ohio, USAU.S.A. |
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| Abstract: | Recently the Wigner distribution has been shown to be a potentially useful tool for analysing the time varying frequency domain phenomenon. In this paper, some of the salient features of the Wigner distribution are presented; properties of this important discrete distribution are derived, and an efficient digital implementation is presented. Effective Wigner throughput rates, in excess of those obtainable with an equivalent length FFT, are shown to be feasible. In particular, the Wigner distribution is studied in the context of enhancing speech analysis and recognition systems. It is suggested that this class of distribution is consistent with the mechanics of human speech and, using experimentation, produces a very robust spectral signature. This enriched data space can be used to uncover some frequency domain attributes of human speech which may be lost using a discrete Fourier transform. |
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