Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)

An Adaptive Speech Separation Method Based on Spherical-Regular-Tetrahedral-Microphone Array

Authors
Yu Pang, Pei Li, Jiayu Lin
Corresponding Author
Yu Pang
Available Online October 2016.
DOI
10.2991/ceie-16.2017.52How to use a DOI?
Keywords
Speech Separation; Microphone Array; Signal Cancellation
Abstract

For speech separation method, getting the accurate weight vector is very important for the performance of method. Aiming at how to reduce the signal cancellation, this paper focuses on obtaining the weight vector in the speech separation process accurately, and it designs an adaptive speech separation method based on spherical-regular-tetrahedral-microphone array. The simulation results show that this paper's method can reduce the signal cancellation effectively in speech separation process, so as to have a better separation performance than the similar method base on two-microphone.

Copyright
© 2017, 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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Volume Title
Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-312-8
ISSN
2352-5401
DOI
10.2991/ceie-16.2017.52How to use a DOI?
Copyright
© 2017, 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/).

Cite this article

TY  - CONF
AU  - Yu Pang
AU  - Pei Li
AU  - Jiayu Lin
PY  - 2016/10
DA  - 2016/10
TI  - An Adaptive Speech Separation Method Based on Spherical-Regular-Tetrahedral-Microphone Array
BT  - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
PB  - Atlantis Press
SP  - 413
EP  - 422
SN  - 2352-5401
UR  - https://doi.org/10.2991/ceie-16.2017.52
DO  - 10.2991/ceie-16.2017.52
ID  - Pang2016/10
ER  -