![]() ![]() ; Sorger, Ulrich ![]() in Proceedings of 8th ITG Conference on Speech Communication (2008) A common technique to deploy linear prediction to non-stationary signals is time segmentation and local analy-sis. In [1], the temporal changes of linear prediction coef?cients (LPCs) are modeled as a ... [more ▼] A common technique to deploy linear prediction to non-stationary signals is time segmentation and local analy-sis. In [1], the temporal changes of linear prediction coef?cients (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 ?ltering. We show that introducing the stabilizing ?lter does not deteriorate the overall predictor performance. [less ▲] Detailed reference viewed: 68 (2 UL) |
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