1 code implementation • 20 Apr 2022 • Daniel R. van Niekerk, Anqi Xu, Branislav Gerazov, Paul K. Krug, Peter Birkholz, Yi Xu
High-quality articulatory speech synthesis has many potential applications in speech science and technology.
2 code implementations • 8 Mar 2021 • Peter Steiner, Azarakhsh Jalalvand, Simon Stone, Peter Birkholz
In this paper, we show how to uniformly describe RCNs with small and clearly defined building blocks, and we introduce the Python toolbox PyRCN (Python Reservoir Computing Networks) for optimizing, training and analyzing RCNs on arbitrarily large datasets.
1 code implementation • 8 Mar 2021 • Peter Steiner, Azarakhsh Jalalvand, Peter Birkholz
Echo State Networks (ESNs) are a special type of recurrent neural networks (RNNs), in which the input and recurrent connections are traditionally generated randomly, and only the output weights are trained.
no code implementations • 20 May 2020 • Branislav Gerazov, Daniel van Niekerk, Anqi Xu, Paul Konstantin Krug, Peter Birkholz, Yi Xu
One of the crucial parameters in these simulations is the choice of features and a metric to evaluate the acoustic error between the synthesised sound and the reference target.
no code implementations • JEPTALNRECITAL 2016 • Mathieu Labrunie, Pierre Badin, Laurent Lamalle, Cori Vilain, re, Louis-Jean Bo{\"e}, Jens Frahm, Peter Birkholz
Nous pr{\'e}sentons une m{\'e}thode de pr{\'e}diction de contours m{\'e}diosagittaux des organes orofaciaux de la parole et la d{\'e}glutition {\`a} partir d{'}images IRM dynamiques.