Doppler-variant Modeling of the Vocal Tract: Stability Considerations

Inhalt:
A common technique to deploy linear prediction to nonstationary signals is time segmentation and local analysis. In [A. Heim, U. Sorger, and F. Hug], “Doppler-variant modeling of the vocal tract”, the temporal changes of linear prediction coefficients (LPCs) are modeled as a Fourier series. This allows analysis and optimization of larger speech segments, i.e., virtually global analysis. Possibly resulting non-minimum-phase prediction error polynomials are subject to all-pass filtering. We show that introducing the stabilizing filter does not deteriorate the overall predictor performance.