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What is Speech Enhancement with DNNs in Noisy Environments about?

This paper addresses speech enhancement in environments with multiple simultaneous noise types using Deep Neural Networks (DNNs). It critiques existing methods that primarily focus on single noise scenarios and proposes new strategies that incorporate psychoacoustic models and noise-aware training to improve performance in real-world conditions. The authors demonstrate that DNNs can effectively enhance speech quality even in complex noise environments, outperforming traditional methods.

Author

kaloorishivaprasad

Language

EN