CASIA OpenIR  > 模式识别国家重点实验室  > 机器人视觉
DOA ESTIMATION OF SPEECH SOURCE IN NOISY ENVIRONMENTS WITH WEIGHTED SPATIAL BISPECTRUM CORRELATION MATRIX
Xue, Wei; Liang, Shan; Liu, Wenju
2014
Conference Name2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
Source PublicationIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Pages2282-2286
Conference Date2014
Conference PlaceFlorence, Italy
PublisherIEEE
AbstractAlthough the high order statistics (HOS) has promising property
against the Gaussian noise, there still lack effective ways
to apply the HOS to DOA estimation of the speech source.
In this paper, we propose a novel HOS based DOA estimation
method for speech source in strong noise conditions. A
“weighted spatial bispectrum correlation matrix (WSBCM)”
is formulated, which contains the spatial correlation information
of bispectrum phase differences. We then propose a new
DOA estimator based on the eigenvalue analysis of the WSBCM.
Besides the theoretical advantage of the bispectrum against
Gaussian noises, the redundant information in the bispectrum
domain is also exploited to make the WSBCM noise
robust. The WSBCM enables bispectrum weighting to select
the speech units in the bispectrum, which further helps to
improve the performance. Experimental results demonstrate
that the proposed method outperforms existing
KeywordDirection Of Arrival Estimation Microphone Array Signal Processing Bispectrum
DOI10.1109/ICASSP.2014.6854006
Indexed ByEI
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/4309
Collection模式识别国家重点实验室_机器人视觉
AffiliationNational Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Xue, Wei,Liang, Shan,Liu, Wenju. DOA ESTIMATION OF SPEECH SOURCE IN NOISY ENVIRONMENTS WITH WEIGHTED SPATIAL BISPECTRUM CORRELATION MATRIX[C]:IEEE,2014:2282-2286.
Files in This Item: Download All
File Name/Size DocType Version Access License
Xue_ICASSP14.pdf(171KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Xue, Wei]'s Articles
[Liang, Shan]'s Articles
[Liu, Wenju]'s Articles
Baidu academic
Similar articles in Baidu academic
[Xue, Wei]'s Articles
[Liang, Shan]'s Articles
[Liu, Wenju]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Xue, Wei]'s Articles
[Liang, Shan]'s Articles
[Liu, Wenju]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Xue_ICASSP14.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.