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Impact Factor : 8.14

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Paper Title: MULTI-CHANNEL KALMANFILTERING FOR SPEECH ENHANCEMENT
Authors Name: Dr.I.Santhi Prabha , SD.Panga Sravanthi
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IJRTI_180980
Published Paper Id: IJRTI1909006
Published In: Volume 4 Issue 9, September-2019
DOI:
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.
Keywords: Speech enhancement, kalmanfiltering, wiener filtering
Cite Article: "MULTI-CHANNEL KALMANFILTERING FOR SPEECH ENHANCEMENT", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.4, Issue 9, page no.32 - 34, September-2019, Available :http://www.ijrti.org/papers/IJRTI1909006.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI1909006
Registration ID:180980
Published In: Volume 4 Issue 9, September-2019
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Page No: 32 - 34
Country: SRIKAKULAM, ANDRA PRADESH, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1909006
Published Paper PDF: https://www.ijrti.org/papers/IJRTI1909006
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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