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Probabilistic Approach for Speech Intelligibility Improvement and Noise Reduction

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Executive Summary

Unlike the most speech enhancement algorithms improve speech quality, they may not improve speech intelligibility in noise, this paper focuses on the development of an algorithm that can be optimized for a specific acoustic environment and improve speech intelligibility. Ideal binary time-frequency masking is a signal separation technique that retains mixture energy in time-frequency units where local signal-to-noise ratio exceeds a certain threshold and rejects mixture energy in other time-frequency units. In speech processing applications often it is observed that many algorithms implemented so far in the past were able to concentrate either on reducing the noise or improving the speech intelligibility, but not the both.

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