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P2: Speech Enhancement: Reduction of Additive Noise in the Digital Processing of Speech Author: Avner Halevy , Advisor: Radu Balan (Math & CSCAMM) Problem Statement Presentation Project Proposal Abstract This project will implement a few standard algorithms for reducing additive white noise in the processing of speech signals. Among these are spectral subtraction and iterative Wiener filtering. The performance of the algorithms will be evaluated on a database of IEEE sentences corrupted by several types of real-world noise. Initially only objective measures will be used to evaluate the quality of processed speech, but if time allows evaluation will be extended to include subjective listening tests as well.
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