Technical Program

Paper Detail

Session:Time-Frequency Distributions
Time:Wednesday, May 19, 09:30 - 11:30
Presentation: Poster
Topic: Signal Processing Theory and Methods: Non-stationary Signals & Time-Frequency Analysis
Authors: Douglas Nelson; United States Department of Defense 
Abstract: We develop new algorithms, which address the problems of accurate frequency estimation and the comparison of the frequency content of two different spectra. We apply these algorithms to speech to accurately estimate formants from very little data and to estimate the frequency differences of individual formants of similar vowel instances. The first algorithm a simple method for construction of a very high-resolution, high-gain spectrum. This phase-re-parameterized spectrum is based on a deterministic signal model and uses both Fourier phase and magnitude and accounts for all of the energy in the Fourier spectrum. To compare the formants of similar vowels we introduce a spectral correlation algorithm based on an outer product rather than the inner product of conventional correlation.

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