Research of City Engineering Speech Blind Separation Algorithms Based on Independent Vector Analysis

DOI

10.2991/emeit.2012.352How to use a DOI?

Keywords

Blind Separation, Independent Vector, Convolutive Mixture, Voice Signal

Abstract

Aiming at the rapid expansion of urbanization ,This paper proposed a new independent vector analysis model, it is an extension of ICA for independent multivariate speech where the sources are mixed component-wise. Formulation that can solve the frequency-domain blind source separation problem, which is very useful in directly applying Newton’s method to a contrast function of complex-valued variables. Fast fixed-point independent vector analysis blind source separation algorithms are derived .The real speech signal are used to demonstrate the good converge and accuracy of the algorithms by simulating.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhuo Yang
AU  - Chun-ming Li
PY  - 2012/09
DA  - 2012/09
TI  - Research of City Engineering Speech Blind Separation Algorithms Based on Independent Vector Analysis
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 1581
EP  - 1584
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.352
DO  - 10.2991/emeit.2012.352
ID  - Yang2012/09
ER  -