Suppression of noise and late reverberation based on blind signal extraction and Wiener filtering-Reference-Cited by-同舟云学术

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Suppression of noise and late reverberation based on blind signal extraction and Wiener filtering

Published:2015 Issue:4 Volume:36 Page:302-313
ISSN:1346-3969
Container-title:Acoustical Science and Technology
language:en
Short-container-title:Acoust. Sci. & Tech.

Author:

Aprilyanti Fine D.¹,Even Jani²,Saruwatari Hiroshi³,Shikano Kiyohiro¹,Nakamura Satoshi¹,Takatani Tomoya⁴

Affiliation:

1. Graduate School of Information Science, Nara Institute of Science and Technology

2. Advanced Telecommunications Research Institute International, Intelligent Robotics and Communication Laboratories

3. Graduate School of Information Science and Technology, The University of Tokyo

4. Toyota Motor Corporation

Publisher

Acoustical Society of Japan

Subject

Acoustics and Ultrasonics

Reference36 articles.

1. 1) S. F. Boll, ``Suppression of acoustic noise in speech using spectral subtraction,'' IEEE Trans. Acoust. Speech Signal Process., ASSP-27, 113-120 (1979).

2. 2) J. S. Lim and A. V. Oppenheim, ``Enhancement and bandwidth compression of noisy speech,'' Proc. IEEE, 67, 1586-1604 (1979).

3. 3) J. L. Flanagan, J. D. Johnston, R. Zahn and G. W. Elko, ``Computer-steered microphone arrays for sound transduction in large rooms,'' J. Acoust. Soc. Am., 78, 1508-1518 (1985).

4. 4) H. F. Silverman and W. R. Patterson, ``Visualizing the performance of large-aperture microphone arrays,'' Proc. ICASSP, pp. 962-972 (1999).

5. 5) O. L. Frost, ``An algorithm for linear constrained adaptive array processing,'' Proc. IEEE, 60, 926-935 (1972).

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Using Joint Generalized Eigenvectors of a Set of Covariance Matrix Pencils for Deflationary Blind Source Extraction;IEEE Transactions on Signal Processing;2018-06-01

2. Musical-Noise-Free Blind Speech Extraction Based on Higher-Order Statistics Analysis;Audio Source Separation;2018

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