@InProceedings{Krug2022_1159,
author = {Paul Konstantin Krug},
booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2022},
title = {A Window-based method for target estimation},
year = {2022},
editor = {Oliver Niebuhr and Malin Svensson Lundmark and Heather Weston},
month = mar,
pages = {196--203},
publisher = {TUDpress, Dresden},
abstract = {The TARGET-APPROXIMATION-MODEL (TAM) describes time continuous articulatory contours through a low-pass filtered sequence of linear functions (targets). Such a representation of articulatory dynamics is well suited for computational simulations of articulatory speech production. The transfer of articulatory trajectories, e.g. measurement data, into the TAM representation is often of particular interest. Although the open source software TARGETOPTIMIZER allows to perform such a transfer successfully, its computational complexity is at least of order O(n3), whereby n is the number of targets to be estimated. This work presents a sequential fit with joint local optimization based on the TARGETOPTIMIZER backend. The proposed solution reduces the computational complexity to O(n).},
isbn = {978-3-95908-548-9},
issn = {0940-6832},
keywords = {Signal Processing & Comprehension},
url = {https://www.essv.de/pdf/pdf/2022_196_203.pdf},
}