SIA OpenIR  > 机器人学研究室
Real-time acoustic source separation based on Kalman filter
Wei YJ(魏阳杰); Wang Y(王义); He YQ(何玉庆)
Department机器人学研究室
Conference Name2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA)
Conference DateJune 15-17, 2015
Conference PlaceAuckland, New Zealand
Source PublicationProceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015
PublisherIEEE
Publication PlacePiscataway, NJ, USA
2015
Pages1273-1278
Indexed ByEI ; CPCI(ISTP)
EI Accession number20161202121295
WOS IDWOS:000377208900231
Contribution Rank2
ISBN978-1-4673-7317-3
KeywordBlind Source Separation (Bss) Kalman Filter Direction Prediction Component
AbstractDeterministic techniques are based on the source-directions and multipath characteristics of the reverberant environment for different source signals. However, searching for the desired directions of the time-block sequence of an acoustic signal is time consuming, and existing deterministic methods rarely consider the motion properties of the acoustic source. In this paper, a real-time acoustic source separation based on a Kalman filter is proposed. First, the convolutive mixture signals captured by the coincident array geometry are formulated, and the basic principles of acoustic source separation based on intensity vector statistics are introduced. Then, a dynamic source-direction prediction method for real-time blind source separation based on a Kalman filter is proposed to predict the directions of a time sequential signal. Finally, extensive experiments are performed with three-source convolutive mixtures of speech in English and Chinese, whose direction varies in linear and nonlinear motions. The signal-to-distortion and signal-to-interference of the separated signals are calculated, and the experimental results demonstrate the feasibility and validity of the proposed method.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/17737
Collection机器人学研究室
Affiliation1.College of Information Science and Engineering, Northeastern University, Shenyang, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, CAS, Shenyang, China
Recommended Citation
GB/T 7714
Wei YJ,Wang Y,He YQ. Real-time acoustic source separation based on Kalman filter[C]. Piscataway, NJ, USA:IEEE,2015:1273-1278.
Files in This Item: Download All
File Name/Size DocType Version Access License
Real-time acoustic s(292KB)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
[Wei YJ(魏阳杰)]'s Articles
[Wang Y(王义)]'s Articles
[He YQ(何玉庆)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wei YJ(魏阳杰)]'s Articles
[Wang Y(王义)]'s Articles
[He YQ(何玉庆)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wei YJ(魏阳杰)]'s Articles
[Wang Y(王义)]'s Articles
[He YQ(何玉庆)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Real-time acoustic source separation based on Kalman filter.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

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