Improving Speech Intelligibility in Noise Using Environment-Optimized Algorithms

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

• Type: Journal
• Year: 2010
• Where: TASLP
• Authors: Gibak Kim, Philipos C. Loizou
• Keywords: Bayesian Classifier, Software Engineering, Speech Intelligibility, T-F Units, TASLP 2010