Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

Abstract: Recurrent neural networks (RNNs) have been successfully used as fundamental frequency (F0) models for text-to-speech synthesis. However, this paper showed that a normal RNN may not take into ...

The so-called parametric average-value models (PAVMs) have been developed to allow larger time-steps and provide fast simulations. However, the application of PAVMs in nodal-analysis-based EMTP ...