Phonemes as Modeling Devices

A CART approach for Duration Modeling of Greek Phonemes

This paper describes the construction and evaluation of a segmental duration prediction model for Greek language with the application of CART (Classification and Regression Tree) machine learning approach. A ToBI annotated prosodic speech corpus was utilized for the construction of training and testing sets. Our phoneme category was composed of 34 phonemes distributed in 32.072 instances (in 5....

Predicting phonemes

Modeling Semiconductor Optical Devices

In this article numerical methods used to model photonic devices are presented. In particular, the governing equations describing the problem, the coupling between electrical and optical fields, and the numerical algorithms used for computing solutions are discussed. As a computational example, we present the modeling of a semi-conductor optical amplifier employed as an all-optical demultiplexer.

Phonemes and phonology

• These sounds are grouped into closely related families of sounds; each such family acts as a single unit from a phonemic point of view. We call these families “phonemes,” and in some respects we are more aware of these phonemes than we are of the very sounds themselves. A word can be viewed as a sequence of sounds, or as a sequence of phonemes. Neither view is more correct; they are at differ...

Modeling of Advanced Semiconductor Devices

Aggressive downscaling of modern semiconductor devices forces development engineers to question the validity of existing modeling approaches. Models for carrier transport have to be considered which are applicable on the transition into the quantum regime. An overview of semiclassical current transport models and their enhancements used for the simulation of nanoelectronic devices is given. Emp...