Noise Tokens: Learning Neural Noise Templates for Environment-Aware Speech Enhancement

@inproceedings{Li2020NoiseTL,
  title={Noise Tokens: Learning Neural Noise Templates for Environment-Aware Speech Enhancement},
  author={Haoyu Li and Junichi Yamagishi},
  booktitle={INTERSPEECH},
  year={2020}
}
In recent years, speech enhancement (SE) has achieved impressive progress with the success of deep neural networks (DNNs). However, the DNN approach usually fails to generalize well to unseen environmental noise that is not included in the training. To address this problem, we propose "noise tokens" (NTs), which are a set of neural noise templates that are jointly trained with the SE system. NTs dynamically capture the environment variability and thus enable the DNN model to handle various… 

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