Speech Enhancement Using Joint DNN-NMF Model Learned with Multi-Objective Frequency Differential Spectrum Loss Function

Figure 1

Block diagram of the proposed system including training and testing phases. The NMF and Jnt-DNN-NMF training is repeated for each noise type. The classification and fusion blocks are applied in the testing phase to select one model (for matched noises) or combine the output of N models that have already been trained for N training noise types (for mismatched noises). Each dashed box in the testing phase is the learned model for each training noise type.