Efficient post-processing techniques for speech enhancement

Ramakrishnan, Vyass and Pawan Kumar, G and Seelamantula, Chandra Sekhar and Shetty, Karthik (2011) Efficient post-processing techniques for speech enhancement. In: 2011 National Conference on Communications (NCC), 28-30 Jan. 2011, Bangalore.

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Abstract

We address the problem of speech enhancement in real-world noisy scenarios. We propose to solve the problem in two stages, the first comprising a generalized spectral subtraction technique, followed by a sequence of perceptually-motivated post-processing algorithms. The role of the post-processing algorithms is to compensate for the effects of noise as well as to suppress any artifacts created by the first-stage processing. The key post-processing mechanisms are aimed at suppressing musical noise and to enhance the formant structure of voiced speech as well as to denoise the linear-prediction residual. The parameter values in the techniques are fixed optimally by experimentally evaluating the enhancement performance as a function of the parameters. We used the Carnegie-Mellon university Arctic database for our experiments. We considered three real-world noise types: fan noise, car noise, and motorbike noise. The enhancement performance was evaluated by conducting listening experiments on 12 subjects. The listeners reported a clear improvement (MOS improvement of 0.5 on an average) over the noisy signal in the perceived quality (increase in the mean-opinion score (MOS)) for positive signal-to-noise-ratios (SNRs). For negative SNRs, however, the improvement was found to be marginal.

Item Type:	Conference Proceedings
Publisher:	IEEE
Additional Information:	Copyright of this article belongs to IEEE.
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	19 Apr 2013 09:13
Last Modified:	19 Apr 2013 09:13
URI:	http://eprints.iisc.ac.in/id/eprint/46227

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