A Controlled Noise Reduction Wiener Filter Based on the Quadratic Eigenvalue Problem-Reference-Cited by-同舟云学术

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A Controlled Noise Reduction Wiener Filter Based on the Quadratic Eigenvalue Problem

Published:2023-10-31 Issue: Volume: Page:
ISSN:
Container-title:2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
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Author:

Pan Ningning¹,Benesty Jacob²,Chen Jingdong³

Affiliation:

1. Southwestern University of Finance and Economics,Research Institute for Digital Economy and Interdisciplinary Sciences,Chengdu,Sichuan,China,610074

2. University of Quebec,INRS-EMT,Montreal,QC,Canada,H5A 1K6

3. Northwestern Polytechnical University,Center of Intelligent Acoustics and Immersive Communications,Xi'an,Shaanxi,China,710072

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10317071/10317095/10317468.pdf?arnumber=10317468

Reference28 articles.

1. Enhancement and Noise Statistics Estimation for Non-Stationary Voiced Speech

2. Subjective Intelligibility of Deep Neural Network-Based Speech Enhancement

3. On MMSE-based estimation of amplitude and complex speech spectral coefficients under phase-uncertainty;becker;IEEE Trans Acoust Speech Signal Process,2016

4. Fundamentals of Noise Reduction

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