Proceedings of the AASRI Winter International Conference on Engineering and Technology (AASRI-WIET 2013)

Phoneme Generation with Elman-type Neural Networks

Authors
Marius Crisan
Corresponding Author
Marius Crisan
Available Online December 2013.
DOI
https://doi.org/10.2991/wiet-13.2013.6How to use a DOI?
Keywords
Phoneme synthesis; Elman neural networks; Speech processing; Time series analysis; Dynamical systems
Abstract
The paper continues some previous works and analyzes the possibility of phoneme generation with Elman-type neural networks. The vowels are composed of repetitions of the same elemental pattern with certain variations (assumed to be chaotic) of the signal parameters. The Elman-type network proved adequate to learn and generate independently in an open loop the elementals with signal parameters controlled by chaotic sources. The experimental results demonstrated that the technique can be further developed and used in synthesized speech.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
AASRI Winter International Conference on Engineering and Technology (AASRI-WIET 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2013
ISBN
978-90786-77-95-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/wiet-13.2013.6How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Marius Crisan
PY  - 2013/12
DA  - 2013/12
TI  - Phoneme Generation with Elman-type Neural Networks
BT  - AASRI Winter International Conference on Engineering and Technology (AASRI-WIET 2013)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/wiet-13.2013.6
DO  - https://doi.org/10.2991/wiet-13.2013.6
ID  - Crisan2013/12
ER  -