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A Maximum Likelihood Approach To Multi-Objective Learning Using Generalized Gaussian Distributions For Dnn-Based Speech Enhancement
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A Maximum Likelihood Approach To Multi-Objective Learning Using Generalized Gaussian Distributions For Dnn-Based Speech Enhancement
The multi-objective learning using minimum mean squared error criterion for DNN-based speech enhancement (MMSE-MOL-DNN) has been demonstrated to achieve better performance than single output DNN. However, one problem of MMSE-MOL-DNN is that the prediction
The multi-objective learning using minimum mean squared error criterion for DNN-based speech enhancement (MMSE-MOL-DNN) has been demonstrated to achieve better performance than single output DNN. However, one problem of MMSE-MOL-DNN is that the prediction
