Volume 7, Issue 1 (9-2010)                   JSDP 2010, 7(1): 53-64 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Localization of Multiple Speakers in Echoic Environments Using BSS and Speech Features for Solution of Global Permutation Ambiguity. JSDP 2010; 7 (1) :53-64
URL: http://jsdp.rcisp.ac.ir/article-1-729-en.html
Localization of Multiple Speakers in Echoic Environments Using BSS and Speech Features for Solution of Global Permutation Ambiguity
Abstract:   (3466 Views)

In this paper, a new algorithm is introduced for localization of multiple speakers in echoic environments. The origin of localization is based on combination of TDOA estimates of each source obtained by the BSS algorithm in the time domain. A new BSS algorithm is proposed which improves the quality and channel identification compared to a reference technique and also reduces the computational cost in some cases. To solve the global permutation ambiguity of BSS algorithms, speech features are used. Simulation results show the effectiveness of these features for solving the later problem.
Keywords: TDOA estimation, PSO optimization, blind source separation, global permutation.
Full-Text [PDF 3672 kb]   (841 Downloads)    
Type of Study: Research | Subject: Paper
Received: 2010/09/22 | Accepted: 2018/02/19 | Published: 2018/02/19 | ePublished: 2018/02/19
Add your comments about this article : Your username or Email:
CAPTCHA
Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2015 All Rights Reserved | Signal and Data Processing