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Speech Enhancement Based on Data-Driven Residual Gain Estimation
Yu Gwang JIN Nam Soo KIM Joon-Hyuk CHANG
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2011/12/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Speech and Hearing
speech enhancement, noise reduction, data-driven approach, residual gain estimation,
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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.