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Found 5 papers, 3 papers with code
Exploration strategies for articulatory synthesis of complex syllable onsets
High-quality articulatory speech synthesis has many potential applications in speech science and technology.
PyRCN: A Toolbox for Exploration and Application of Reservoir Computing Networks
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.
Cluster-based Input Weight Initialization for Echo State Networks
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.
Evaluating Features and Metrics for High-Quality Simulation of Early Vocal Learning of Vowels
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.
Suivi de contours d'articulateurs orofaciaux \`a partir d'IRM dynamique (Orofacial articulators tracking from dynamic MRI)
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.
