Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition
SNR-Aware Convolutional Neural Network Modeling for Speech Enhancement.
Adversarial Auto-encoders for Speech Based Emotion Recognition
Evaluation of objective measures for speech enhancement
Learning representations of emotional speech with deep convolutional generative adversarial networks
Deep neural network based spectral feature mapping for robust speech recognition.
Multi-stream Processing for Noise Robust Speech Recognition
Deep Learning for Acoustic Echo Cancellation in Noisy and Double-Talk Scenarios
An Effective Quality Evaluation Protocol For Speech Enhancement Algorithms
A transfer learning and progressive stacking approach to reducing deep model sizes with an application to speech enhancement
Wiener filtering based speech enhancement with Weighted Denoising Auto-encoder and noise classification
Towards End-To-End Speech Recognition with Recurrent Neural Networks
Speech enhancement via ensemble modeling NMF adaptation
Reverberant speech recognition combining deep neural networks and deep autoencoders augmented with a phone-class feature
The Conversation: Deep Audio-Visual Speech Enhancement
Recurrent Neural Networks for Noise Reduction in Robust ASR
Multi-resolution stacking for speech separation based on boosted DNN.
Label-Noise Robust Generative Adversarial Networks
Exemplar-Based Sparse Representations for Noise Robust Automatic Speech Recognition
Stochastic pooling maxout networks for low-resource speech recognition
Factorized deep neural networks for adaptive speech recognition
Strata: Fine-Grained Acoustic-based Device-Free Tracking
Energy-based Generative Adversarial Network
10 heavy metals and human health .
An analysis of facial expression recognition under partial facial image occlusion
solving correspondence problem with 1d signal matching .