ISSN2456-3315
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Paper Title
MULTI-CHANNEL KALMANFILTERING FOR SPEECH ENHANCEMENT
Authors
Dr.I.Santhi Prabha , SD.Panga Sravanthi
Keywords
Speech enhancement, kalmanfiltering, wiener filtering
Abstract
The goal of speech enhancement is to reduce the noise signal while keeping the speech signal undistorted. Recently we developed the multichannel Kalman filtering (MKF) for speech enhancement, in which the temporal evolution of the speech signal and the spatial correlation between multichannel observations are jointly exploited to estimate the clean signal. In this paper, we extend the previous work to derive a parametric MKF (PMKF), which incorporates a controlling factor to achieve the trade-off between the speech distortion and noise reduction. The controlling factor weights between the speech distortion and noise reduction related terms in the cost function of PMKF, and based on the minimum mean squared error (MMSE) criterion, the optimal PMKF gain is derived and analysis the performance of the proposed PMKF and show the differences with the speech distortion weighted multichannel Wiener filter (SDW-MWF). We conduct experiments in different noisy conditions to evaluate the impact of the controlling factor on the noise reduction performance, and the results demonstrate the effectiveness of the proposed method.
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IJRTI — journal style
"MULTI-CHANNEL KALMANFILTERING FOR SPEECH ENHANCEMENT", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.4, Issue 9, page no.32 - 34, September-2019, Available :https://ijrti.org/papers/IJRTI1909006.pdf
APA — 7th edition
Prabha, D. I. S., & Sravanthi, S. P. (2019). MULTI-CHANNEL KALMANFILTERING FOR SPEECH ENHANCEMENT. International Journal for Research Trends and Innovation, 4(9), 32 - 34. https://ijrti.org/viewpaperforall.php?paper=IJRTI1909006
MLA — 9th edition
Prabha, Dr.I.Santhi, and SD.Panga Sravanthi. "MULTI-CHANNEL KALMANFILTERING FOR SPEECH ENHANCEMENT." International Journal for Research Trends and Innovation, vol. 4, no. 9, 2019, pp. 32 - 34, https://ijrti.org/viewpaperforall.php?paper=IJRTI1909006.
Chicago — 17th, bibliography
Prabha, Dr.I.Santhi, and SD.Panga Sravanthi. "MULTI-CHANNEL KALMANFILTERING FOR SPEECH ENHANCEMENT." International Journal for Research Trends and Innovation 4, no. 9 (2019): 32 - 34. https://ijrti.org/viewpaperforall.php?paper=IJRTI1909006.
Harvard — author–date
Prabha, D.I.S. and Sravanthi, S.P. (2019) 'MULTI-CHANNEL KALMANFILTERING FOR SPEECH ENHANCEMENT', International Journal for Research Trends and Innovation, 4(9), pp. 32 - 34. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI1909006
IEEE — numbered reference
D. I. S. Prabha and S. P. Sravanthi, "MULTI-CHANNEL KALMANFILTERING FOR SPEECH ENHANCEMENT," IJRTI, vol. 4, no. 9, pp. 32 - 34, Sep. 2019.
Vancouver — biomedical
Prabha DIS, Sravanthi SP. MULTI-CHANNEL KALMANFILTERING FOR SPEECH ENHANCEMENT. IJRTI. 2019 Sep;4(9):32 - 34.
AMA — 11th edition
Prabha DIS, Sravanthi SP. MULTI-CHANNEL KALMANFILTERING FOR SPEECH ENHANCEMENT. IJRTI. 2019;4(9):32 - 34. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI1909006
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI1909006,
author = {Dr.I.Santhi Prabha and SD.Panga Sravanthi},
title = {MULTI-CHANNEL KALMANFILTERING FOR SPEECH ENHANCEMENT},
journal = {International Journal for Research Trends and Innovation},
volume = {4},
number = {9},
pages = {32 - 34},
year = {2019},
month = {September},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI1909006}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Prabha, Dr.I.Santhi
AU - Sravanthi, SD.Panga
TI - MULTI-CHANNEL KALMANFILTERING FOR SPEECH ENHANCEMENT
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 4
IS - 9
PY - 2019
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI1909006
SP - 32
EP - 34
ER -
Issue
Volume 4 Issue 9,
September-2019
Pages : 32 - 34
Other Publication Details
Paper Reg. ID
IJRTI_180980
Published Paper ID
IJRTI1909006
Downloads
205,620
Research Area
Engineering
Country
SRIKAKULAM, ANDRA PRADESH, India
Published
September 2019
Published Paper PDF
https://ijrti.org/papers/IJRTI1909006.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI1909006
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
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Open
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Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
