T-GSA: Transformer with Gaussian-weighted self-attention for speech enhancement

13 Oct 2019Jaeyoung KimMostafa El-KhamyJungwon Lee

Transformer neural networks (TNN) demonstrated state-of-art performance on many natural language processing (NLP) tasks, replacing recurrent neural networks (RNNs), such as LSTMs or GRUs. However, TNNs did not perform well in speech enhancement, whose contextual nature is different than NLP tasks, like machine translation... (read more)

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