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13

TASLP
2010

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Improving Speech Intelligibility in Noise Using Environment-Optimized Algorithms

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Improving Speech Intelligibility in Noise Using Environment-Optimized Algorithms

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While 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. The proposed method decomposes the input signal into time

Gibak Kim, Philipos C. Loizou

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Bayesian Classifier | Software Engineering | Speech Intelligibility | T-F Units | TASLP 2010 |

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Added	21 May 2011
Updated	21 May 2011
Type	Journal
Year	2010
Where	TASLP
Authors	Gibak Kim, Philipos C. Loizou

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