Full Paper View Go Back
An Improvement of Minimum Variance Distortionless Response Filter
Quan Trong The1
1 Information Technologies and Programming Faculty, ITMO University, Russian Federation.
Section:Research Paper, Product Type: Journal
Vol.8 ,
Issue.1 , pp.7-9, Feb-2020
Online published on Feb 28, 2020
Copyright © Quan Trong The . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
View this paper at Google Scholar | DPI Digital Library
How to Cite this Paper
- IEEE Citation
- MLA Citation
- APA Citation
- BibTex Citation
- RIS Citation
IEEE Style Citation: Quan Trong The, “An Improvement of Minimum Variance Distortionless Response Filter,” International Journal of Scientific Research in Network Security and Communication, Vol.8, Issue.1, pp.7-9, 2020.
MLA Style Citation: Quan Trong The "An Improvement of Minimum Variance Distortionless Response Filter." International Journal of Scientific Research in Network Security and Communication 8.1 (2020): 7-9.
APA Style Citation: Quan Trong The, (2020). An Improvement of Minimum Variance Distortionless Response Filter. International Journal of Scientific Research in Network Security and Communication, 8(1), 7-9.
BibTex Style Citation:
@article{The_2020,
author = {Quan Trong The},
title = {An Improvement of Minimum Variance Distortionless Response Filter},
journal = {International Journal of Scientific Research in Network Security and Communication},
issue_date = {2 2020},
volume = {8},
Issue = {1},
month = {2},
year = {2020},
issn = {2347-2693},
pages = {7-9},
url = {https://www.isroset.org/journal/IJSRNSC/full_paper_view.php?paper_id=381},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRNSC/full_paper_view.php?paper_id=381
TI - An Improvement of Minimum Variance Distortionless Response Filter
T2 - International Journal of Scientific Research in Network Security and Communication
AU - Quan Trong The
PY - 2020
DA - 2020/02/28
PB - IJCSE, Indore, INDIA
SP - 7-9
IS - 1
VL - 8
SN - 2347-2693
ER -
498 Views
275 Downloads
195 Downloads
Abstract :
In this paper, the author introduces an improvement of Minimum Variance Distortionless Responseā€™s performance, which uses a priori information of speech presence probability to estimate the necessary matrix of noise. The proposal algorithm computes the smoothing parameter, that adapts with the presence or absence of speech components. The significant amount of noise reduction has provided the effectiveness and ability of increasing the signal-to-noise ratio of this algorithmā€™s speech enhancement. Post-filtering is an additional technique to enhance the quality of the output signal. The evaluation is presented in promising results of amplitude, spectrogram of original and processed signals.
Key-Words / Index Term :
microphone array, dual-microphone, minimum variance distortion less response, post-filtering, speech enhancement, speech presence probability
References :
[1] Brandstein M. and Ward D. (Eds.). Microphone Arrays: Signal Processing Techniques and Applications, Springer, 2001.
[2] Benesty J. and Chen J. Study and Design of Differential Microphone Arrays, Springer, 2013.
[3] Benesty J., Chen J., Pan C. Fundamentals of Differential Microphone Arrays, Springer, 2016.
[4] Ehrenberg L. et al.: Sensitivity Analysis of MVDR and MPDR Beamformers/ IEEE 26-th Convention of Electrical and Electronics Engineers in Israel, 2010, pp. 416-420.
[5] Lockwood, M. et al.: Performance of time- and frequency-domain binaural beamformers based on recorded signals from real rooms. J. Acoust. Soc. Am. 115 (1), pp. 379-391, (2004).
[6] Stolbov, M., The, Q. Study of MVDR dual-microphone algorithm for speech enhancement in coherent noise presence. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2019, vol. 19, no.1, pp. 180ā€“183(in Russian).
[7] Souden M., Benesty J., Affes S., A study of the LCMV and MVDR noise reduction filters, IEEE Trans. Signal Process., vol. 58, pp. 4925ā€“4935, Sept. 2010.
[8] Gerkmann T. ā€¯Unbiased MMSE-Based Noise Power Estimation with Low Complexity and Low Tracking Delayā€¯, IEEE TASL, 2012.
[9] Gerkmann T., Hendriks R.ā€¯Noise Power Estimation Based on the Probability of Speech Presenceā€¯, WASPAA 2011.
[10] Martin R. Noise power spectral density estimation based on optimal smoothing and minimum statistics IEEE Trans. Speech Audio Process., 9 (5) (July 2001), pp. 504-512.
[11] https://labrosa.ee.columbia.edu/projects/snreval/.
You do not have rights to view the full text article.
Please contact administration for subscription to Journal or individual article.
Mail us at ijsrnsc@gmail.com or view contact page for more details.