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Speech Separation
Design a robust Deep Convolutional Neural Network (CNN) architecture to extract vocals from music signals by exploiting Ideal Binary Masks (IBM) features. Trained with MUSDB18 dataset and evaluated…
A personal toolkit for single/multi-channel speech recognition & enhancement & separation.
DPRNN-based speech separation for single channel with two speakers
Deep neural network (DNN) for noise reduction, removal of background music, and speech separation
Two-talker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.
Recurrent neural network training for noise reduction in robust automatic speech recognition