A time-varying complex AR speech analysis based on GLS and ELS method
نویسنده
چکیده
We have already developed three kinds of time-varying complex AR (TV-CAR) parameter estimation algorithms for analytic speech signal, which are based on minimizing mean square error (MMSE), Huber's robust Mestimation and Instrumental Variable (IV) method. This paper presents novel robust TV-CAR model parameter estimation algorithms on the basis of a Generalized Least Square (GLS) and Extended Least Square (ELS) method, in which the equation error is modeled by complex AR model with white Gaussian input to whiten the equation error. The experiments with natural speech corrupted by white Gaussian demonstrate that the proposed methods achieve robust spectral estimation against additive white Gaussian.
منابع مشابه
Improvement of the ELS-based time-varying complex speech analysis
We have already proposed novel robust parameter estimation algorithms of time-varying complex AR (TV-CAR) model for analytic speech signal, which are based on GLS (Generalized Least Square) and its modification of ELS (Extended Least Square). The ELS method is more sophisticated method that can be derived by matrix inversion theorem. We have shown that the methods can achieve robust speech spec...
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