A Speech Enhancement Algorithm Based on the “Music Noise” Analysis

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Abstract:

Interference is inevitable process of voice communication will be from the surrounding environment and transmission medium noise, communication equipment, electronic noise, and other speakers. These interference makes the voice receiver received for noisy speech signal with noise pollution. According to the traditional spectral subtraction residual musical noise is too strong, the weighted processing is reduced and the power spectrum correction, spectral subtraction method was adopted to improve the traditional. According to the analysis of real speech data collection simulation, improved spectral subtraction can effectively reduce the musical noise, can satisfy the requirement of speech enhancement.

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2784-2787

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March 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zhao. Speech Signal Processing, [M]. Beijing: China Machine Press, 2003, 4.

Google Scholar

[2] (US) Sanjit K. Mitra; Sun Hong, Yu Xiangyu, et al. Digital signal processing experiment guide book: MATLAB edition. Beijing: Electronic Industry Press, (2005).

Google Scholar

[3] (US) Thomas F. Quatieri. A discrete-time speech signal processing theory and application, [M]. Beijing: Electronic Industry Press, (2004).

Google Scholar

[4] (US) Wiener • K • Engel, (U.S. ), John • G • Proulx. digital signal processing"[M], Xi'an: Xi, an Jiaotong University Press, (2002).

Google Scholar

[5] Gao Quan, Ding Mei, eds. Digital Signal Processing" Xi, an University of Electronic Science and Technology Press, 2008. 8.

Google Scholar