engleski

Harmonic Weighting for All-Pole Modeling of the Voiced Speech

A new distance measure for all pole modeling of voiced speech is introduced in this paper. It can easily be integrated within the concept of discrete Weighted Mean Square Error (WMSE) all pole modeling, by a suitable choice of the modeling weights. The proposed weighting will address the problems such as: harmonic estimation reliability, perceptual significance of the harmonic and the model mismatch errors. The robust estimator is proposed, to reduce the effect of outliers caused by spectral nulls or additive non speech contributions (e.g. background noise or music). It is demonstrated that the proposed all pole estimation can significantly improve the performance of speech coders based on sinusoidal model, since the harmonic magnitudes are modeled better by the WMSE all pole model.

all-pole modeling; speach analysis; LPC

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