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Speech Enhancement Based on Data-Driven Residual Gain Estimation

Title
Speech Enhancement Based on Data-Driven Residual Gain Estimation
Author
장준혁
Keywords
speech enhancement; noise reduction; data-driven approach; residual gain estimation
Issue Date
2011-12
Publisher
Institute of Electronics, Information and Communication Engineers
Citation
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS E SERIES D, 2011, 94(12), P.2537-2540
Abstract
In this letter, we propose a novel speech enhancement algorithm based on data-driven residual gain estimation. The entire system consists of two stages. At the first stage, a conventional speech enhancement algorithm enhances the input signal while estimating several signal-to-noise ratio (SNR)-related parameters. The residual gain, which is estimated by a data-driven method, is applied to further enhance the signal at the second stage. A number of experimental results show that the proposed speech enhancement algorithm outperforms the conventional speech enhancement technique based on soft decision and the data-driven approach using SNR grid look-up table.
URI
https://www.jstage.jst.go.jp/article/transinf/E94.D/12/E94.D_12_2537/_articlehttp://hdl.handle.net/20.500.11754/66774
ISSN
0916-8532
DOI
10.1587/transinf.E94.D.2537
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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