Low-delay noise estimation based on spectrum ripples and minimum statistics in adverse environments

Authors:
Zhong-Hua Fu;Jhing-Fa Wang
Affiliations:
School of Computer Science, Northwestern Polytechnical University, Xi'an, China and Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan;Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan
Venue:
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Year:
2009

Citing 4
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Abstract

This paper proposes a new noise estimation algorithm to reduce the estimation delays under highly non-stationary noise conditions. Since the harmonic ripples appeared in the spectrogram are valuable for human to localize the speech presence, based on the characteristics of these ripples, we propose a novel energy independent feature to detect the changing noise. If noise is present, the noise floors of the traditional minimum statistics (MS) are forced to update to follow the noise change. This scheme can also prevent the false rise of noise floors of MS during long speech presence. The performance of the proposed algorithm is evaluated by qualitative results and overall objective measures. Better perfonnances are achieved compared with other noise estimation algorithms.