Sparse Mixture of Local Experts for Efficient Speech Enhancement

16 May 2020 Aswin Sivaraman Minje Kim

In this paper, we investigate a deep learning approach for speech denoising through an efficient ensemble of specialist neural networks. By splitting up the speech denoising task into non-overlapping subproblems and introducing a classifier, we are able to improve denoising performance while also reducing computational complexity... (read more)

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