Title :
Modeling speech production using the Neural Engineering Framework
Author :
Kroger, Bernd J. ; Bekolay, Trevor ; Eliasmith, Chris
Author_Institution :
Dept. for Phoniatrics, Pedaudiology, & Commun. Disorders, RWTH Aachen Univ., Aachen, Germany
Abstract :
A neurobiologically plausible model of speech production is introduced here using the Neural Engineering Framework (NEF). This approach allows detailed modeling of temporal aspects of action selection and action execution in speech production at the level of single spiking neurons. A preliminary architecture of our NEF speech production model is introduced and discussed in the second part of this paper. The first part focuses on an articulatory-acoustic model, generating acoustic speech signals on the basis of articulatory geometries. Our approach uses a small set of functional articulatory control parameters. Motor planning is based on the concept of speech or vocal tract actions (Kröger et al. 2010, Cognitive Processing 11: 187-205). A 2D-geometrical model is used and the acoustic speech signal is calculated using a reflection-type line analog model.
Keywords :
acoustic signal processing; biomedical engineering; computational geometry; neural nets; speech processing; 2D-geometrical model; NEF; acoustic speech signal generation; articulatory geometries; articulatory-acoustic model; functional articulatory control parameters; motor planning; neural engineering framework; neurobiologically plausible model; reflection-type line analog model; single spiking neurons; speech production modeling; temporal action execution aspect; temporal action selection aspect; vocal tract actions; Barium; Lead; TV; Visualization;
Conference_Titel :
Cognitive Infocommunications (CogInfoCom), 2014 5th IEEE Conference on
Conference_Location :
Vietri sul Mare
DOI :
10.1109/CogInfoCom.2014.7020446