Multi-band Spectral Subtraction of Speech Enhancement Based on Maximum Posteriori Phase Estimation

LI Zhen; WU Wenjin; ZHANG Qin; REN Hui

doi:10.11999/JEIT161381

Volume 39 Issue 9

Sep. 2017

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LI Zhen, WU Wenjin, ZHANG Qin, REN Hui. Multi-band Spectral Subtraction of Speech Enhancement Based on Maximum Posteriori Phase Estimation[J]. Journal of Electronics & Information Technology, 2017, 39(9): 2282-2286. doi: 10.11999/JEIT161381

Citation:

LI Zhen, WU Wenjin, ZHANG Qin, REN Hui. Multi-band Spectral Subtraction of Speech Enhancement Based on Maximum Posteriori Phase Estimation[J]. Journal of Electronics & Information Technology, 2017, 39(9): 2282-2286. doi: 10.11999/JEIT161381

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Multi-band Spectral Subtraction of Speech Enhancement Based on Maximum Posteriori Phase Estimation

doi: 10.11999/JEIT161381

Funds:

The National Science and Technology Planning?Project (2012BAH38F00)

Received Date: 2016-12-21
Rev Recd Date: 2017-04-25
Publish Date: 2017-09-19

Abstract

Abstract

The spectral subtraction speech enhancement is extensively used due to its simplicity and easy to implement. The principle of this method is to subtract the estimated magnitude of the noise from the magnitude of the noisy signal, but the phase of the noisy signal is unchanged. This conventional method produces the estimating error because it exploits the noisy phase, especially in low SNR, and it produces musical noise because of the inaccuracy of the noise estimation. This paper proposes a multi-band spectral subtraction algorithm based on maximum posteriori phase estimation. Experimental results show that the proposed method can get better performance than the conventional method especially in low SNR.
- Speech enhancement,
- Maximum posteriori phase estimation,
- Multi-band spectral subtraction,
- Low SNR

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References(14)

References

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