Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: A deep ensemble learning method for monaural speech separation
Deep learning for monaural speech separation
Exploring Monaural Features for Classification-Based Speech Segregation
Mmdenselstm: An Efficient Combination of Convolutional and Recurrent Neural Networks for Audio Source Separation
Multichannel Audio Source Separation With Deep Neural Networks
localization based stereo speech source separation using probabilistic time - frequency masking and deep neural networks .
Fully complex deep neural network for phase-incorporating monaural source separation
Latent variable decomposition of spectrograms for single channel speaker separation
Multi-Scale multi-band densenets for audio source separation
Distilling Knowledge from Ensembles of Neural Networks for Speech Recognition
Joint training of speech separation, filterbank and acoustic model for robust automatic speech recognition.
Monoaural Audio Source Separation Using Variational Autoencoders
An iterative model-based approach to cochannel speech separation
Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation
Unseen noise estimation using separable deep auto encoder for speech enhancement
Blind separation of speech mixtures via time-frequency masking
Ideal Ratio Mask Estimation Using Deep Neural Networks for Monaural Speech Segregation in Noisy Reverberant Conditions
MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation
looking to listen at the cocktail party : a speaker - independent audio - visual model for speech separation .
Singing Voice Separation with Deep U-Net Convolutional Networks
Monaural Audio Speaker Separation with Source Contrastive Estimation
Techniques for Highly Multiobjective Optimisation: Some Nondominated Points are Better than Others
Deep Sparse Rectifier Neural Networks
A Haptic Tool for Group Work on Geometrical Concepts Engaging Blind and Sighted Pupils
Biometric classifier update using online learning : A case study in near infrared face verification
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