Speech Enhancement Algorithm Based on MMSE Short Time Spectral Amplitude in Whispered Speech |
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Authors: | Zhi-Heng Lu Huai-Zong Shao Tai-Liang Ju |
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Affiliation: | School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China |
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Abstract: | An improved method based on minimum mean square error-short time spectral amplitude (MMSE-STSA) is proposed to cancel background noise in whispered speech. Using the acoustic character of whispered speech, the algorithm can track the change of non-stationary background noise effectively. Compared with original MMSE-STSA algorithm and method in selectable mode Vo-coder (SMV), the improved algorithm can further suppress the residual noise for low signal-to-noise radio (SNR) and avoid the excessive suppression. Simulations show that under the non-stationary noisy environment, the proposed algorithm can not only get a better performance in enhancement, but also reduce the speech distortion. |
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Keywords: | Minimum mean square error short time spectral amplitude (MMSE-STSA) speech enhancement whispered speech |
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