Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Using Visual Speech Information in Masking Methods for Audio Speaker Separation
Using audio and visual information for single channel speaker separation
Multi-resolution stacking for speech separation based on boosted DNN.
Detection and reconstruction of clipped speech for speaker recognition
An Unsupervised Approach to Cochannel Speech Separation
localization based stereo speech source separation using probabilistic time - frequency masking and deep neural networks .
Permutation invariant training of deep models for speaker-independent multi-talker speech separation
MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation
Variational Recurrent Neural Networks for Speech Separation
A Bayesian Classifier for Spectrographic Mask Estimation for Missing Feature Speech Recognition
Latent variable decomposition of spectrograms for single channel speaker separation
Robust speaker recognition based on DNN/i-vectors and speech separation
A Consolidated Perspective on Multimicrophone Speech Enhancement and Source Separation
Deep neural network based speech separation for robust speech recognition
Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation
Exploring Monaural Features for Classification-Based Speech Segregation
Time-Frequency Masking in the Complex Domain for Speech Dereverberation and Denoising
An Approach to Blind Source Separation Based on Temporal Structure of Speech Signals
Vocal Separation using Singer-Vowel Priors Obtained from Polyphonic Audio
Robust Speaker Recognition in Noisy Conditions
Simultaneous Utilization of Spectral Magnitude and Phase Information to Extract Supervectors for Speaker Verification Anti-spoofing
Characterizing user navigation and interactions in online social networks
Recurrent Neural Networks for Noise Reduction in Robust ASR
Fast and accurate spike sorting in vitro and in vivo for up to thousands of electrodes
AutoMoDe: A novel approach to the automatic design of control software for robot swarms
Prediction and estimation of effective population size