IEICE Transactions on Information and Systems
Online ISSN : 1745-1361
Print ISSN : 0916-8532
Regular Section
Speech Enhancement Based on Data-Driven Residual Gain Estimation
Yu Gwang JINNam Soo KIMJoon-Hyuk CHANG
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2011 Volume E94.D Issue 12 Pages 2537-2540


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.

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© 2011 The Institute of Electronics, Information and Communication Engineers
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