An Efficient Activation Function for Blind Separation of Speech Signals
Available Online August 2013.
- https://doi.org/10.2991/icaicte.2013.82How to use a DOI?
- Blind Separation, Speech Signals, Activation Function.
- 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.
- 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 -