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http://dx.doi.org/10.21288/resko.2017.11.4.363

Low-Complexity Speech Enhancement Algorithm Based on IMCRA Algorithm for Hearing Aids  

Jeon, Yuyong (인하대학교 전자공학과)
Lee, Sangmin (인하대학교 전자공학과)
Publication Information
Journal of rehabilitation welfare engineering & assistive technology / v.11, no.4, 2017 , pp. 363-370 More about this Journal
Abstract
In this paper, we proposed a low-complexity speech enhancement algorithm based on a improved minima controlled recursive averaging (IMCRA) and log minimum mean square error (logMMSE). The IMCRA algorithm track the minima value of input power within buffers in local window and identify the speech presence using ratio between input power and its minima value. In this process, many number of operations are required. To reduce the number of operations of IMCRA algorithm, minima value is tracked using time-varying frequency-dependent smoothing based on speech presence probability. The proposed algorithm enhanced speech quality by 2.778%, 3.481%, 2.980% and 2.162% in 0, 5, 10 and 15dB SNR respectively and reduced computational complexity by average 9.570%.
Keywords
Speech Enhancement; Low Complexity Algorithm; Modified IMCRA; Log MMSE; Hearing Aid Algorithm;
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