Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Deep Transform: Cocktail Party Source Separation via Complex Convolution in a Deep Neural Network
Probabilistic Binary-Mask Cocktail-Party Source Separation in a Convolutional Deep Neural Network
localization based stereo speech source separation using probabilistic time - frequency masking and deep neural networks .
A Performance Evaluation of Several Deep Neural Networks for Reverberant Speech Separation
Phase-sensitive and recognition-boosted speech separation using deep recurrent neural networks
MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation
Low latency sound source separation using convolutional recurrent neural networks
Monoaural Audio Source Separation Using Variational Autoencoders
Spectrogram-channels u-net: a source separation model viewing each channel as the spectrogram of each source
Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation
Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Network
Denoising Auto-Encoder with Recurrent Skip Connections and Residual Regression for Music Source Separation
Speaker-independent Speech Separation with Deep Attractor Network
Recurrent deep stacking networks for supervised speech separation
Single-Channel Multi-Speaker Separation using Deep Clustering
Singing-Voice Separation from Monaural Recordings using Deep Recurrent Neural Networks
Deep Remix: Remixing Musical Mixtures Using a Convolutional Deep Neural Network
Convolutive Blind Separation of Non-Stationary Sources
Restructuring of Deep Neural Network Acoustic Models with Singular Value Decomposition
Deep neural network based speech separation for robust speech recognition
Adversarial Semi-Supervised Audio Source Separation Applied to Singing Voice Extraction
The Molecular Basis of Leukemia
Social Media as a Marketing Tool: A Literature Review
Liquid Biopsy in Liquid Tumors
High-dimensional signature compression for large-scale image classification
BRACID: a comprehensive approach to learning rules from imbalanced data