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A third-order tensor decomposition based algorithm for speech dereverberation

delete2025-07-30
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PRE
AI
Y
Yujie Zhu
G
Gongping Huang *
J
Jilu Jin
J
Jingdong Chen
J
Jacob Benesty
DOI:10.1016/j.sigpro.2025.110210delete
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Abstract

Abstract

En 中文
• This paper proposes a speech dereverberation method based on third-order tensor decomposition. • It introduces higher-order tensor decomposition into dereverberation, leveraging low-rank properties of acoustic systems. • The proposed TOT-AWPE algorithm reduces computational complexity while achieving competitive or superior performance.
Keywords:
speech dereverberation
tensor decomposition
low-rank properties
computational complexity
TOT-AWPE

Journal

Signal Processing cover
Signal Processing
IF:
3.6
Papers:
10.0K
Citations:
1.7W

Organization

N
Northwestern Polytechnical University
Scholars:
4.6W
Papers: 3.7W
Citations: 5.3W
U
university of quebec
Scholars:
2.0W
Papers: 1.9W
Citations: 19
W
wuhan university
Scholars:
8.1W
Papers: 5.8W
Citations: 70
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