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In our previous work, we extend the traditional stereo-based stochastic mapping by relaxing the constraint of stereo-data, which is not practical in real applications, via HMM-based speech synthesis to construct the “clean” channel data for noisy speech recognition. In this paper, we propose to use deep neural networks (DNNs) for stereo mapping compared with the joint Gaussian mixture model (GMM)...
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