Efficient Post-Processing Techniques for Speech Enhancement

The authors address the problem of speech enhancement in real-world noisy scenarios. They 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.

Provided by: Indian Institute of Science Topic: Mobility Date Added: Dec 2010 Format: PDF

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