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Speech enhancement based on modified a priori SNR estimation |
Yu FANG( ), Gang LIU, Jun GUO |
| Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing 100876, China |
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Abstract To solve the frame delay problem and match the previous frame, Plapous et al. [IEEE Transactions on Audio, Speech, and Language Processing, 2006, 14(6): 2098–2108] introduced a novel approach called two-step noise reduction (TSNR) technique to improve the performance of the speech enhancement system. However, TSNR approach results in spectral peaks of short duration and the broken spectral outlier, which degrade the spectral characteristics of the speech. To solve this problem, a cepstral smoothing step is added in order to remove these spectral peaks brought by TSNR approach. Theory analysis shows that the proposed approach can effectively smooth the spectral peaks and keep the spectral outlier so as to protect the speech characteristics. Experiment results also show that the proposed approach can bring significant improvement compared to decision-directed (DD) and TSNR approaches, especially in non-stationary noisy environments.
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| Keywords
speech enhancement
decision-directed (DD)
two-step noise reduction (TSNR)
signal-to-noise ratio (SNR) estimation
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Corresponding Author(s):
FANG Yu,Email:anniefangyu@gmail.com
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Issue Date: 05 December 2011
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