Order and phase ambiguities correction in the ICA based separation of speech signals-Reference-Cited by-同舟云学术

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Order and phase ambiguities correction in the ICA based separation of speech signals

Published:2020-05-18 Issue:2 Volume:23 Page:459-469
ISSN:1381-2416
Container-title:International Journal of Speech Technology
language:en
Short-container-title:Int J Speech Technol

Author:

Uddin Z.,Orakzai F. A.,Qamar A.

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Link

https://link.springer.com/content/pdf/10.1007/s10772-020-09709-8.pdf

Reference35 articles.

1. Ameri, M. R., Shokripour, M., Mohammadpour, A., & Nassiri, V. (2013). Parametric independent component analysis for stable distributions. Artificial Intelligence Research, 2, 27–34.

2. Amishima, T., et al. (2010). Permutation method for ICA separated source signal blocks in time domain. IEEE Transactions on Aerospace and Electronic Systems, 46(2), 899–904.

3. Baiyan, L., & Jinhua, T. (2011). Overcomplete ica algorithm of speech signal extraction in underdetermined mixtures. International Conference on Electric Information and Control Engineering (ICEICE), pp. 1520–1522.

4. Bauer, R., et al. (2015). Bridging the gap between motor imagery and motor execution with a brain-robot interface. Neuroimage, 108, 319–327.

5. Bousse, M., Debals, O., & De Lathauwer, L. (2017). A tensor-based method for large-scale blind source separation using segmentation. IEEE Transactions on Signal Processing, 65(2), 346–358.

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