Proceedings of the 2013 International Conference on Advanced ICT and Education

An Efficient Activation Function for Blind Separation of Speech Signals

Authors
Shouyu Sun
Corresponding Author
Shouyu Sun
Available Online August 2013.
DOI
https://doi.org/10.2991/icaicte.2013.82How to use a DOI?
Keywords
Blind Separation, Speech Signals, Activation Function.
Abstract
The aim of this paper is to study blind separation of speech signals based on feedforward neural network with sine ac-tivation function. The natural gradient is a major contribution to blind source separation (BSS) because its performance is independent of the mixing matrix. Computer simulations are provided by speech signals as sources (ten speakers) and in the instantaneous mixing case show that the algorithm with sine activation function converges faster and recovers independent sources better than other activation functions.
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Proceedings
2013 International Conference on Advanced ICT and Education (ICAICTE-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90786-77-79-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/icaicte.2013.82How 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  - Shouyu Sun
PY  - 2013/08
DA  - 2013/08
TI  - An Efficient Activation Function for Blind Separation of Speech Signals
BT  - 2013 International Conference on Advanced ICT and Education (ICAICTE-13)
PB  - Atlantis Press
SP  - 393
EP  - 396
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaicte.2013.82
DO  - https://doi.org/10.2991/icaicte.2013.82
ID  - Sun2013/08
ER  -