Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Data augmentation for deep neural network acoustic modeling
Deep neural networks for acoustic modeling in speech recognition
A deep convolutional neural network using heterogeneous pooling for trading acoustic invariance with phonetic confusion
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification
Methods of data augmentation for palimpsest character recognition with Deep Neural Network
Multilingual deep neural network based acoustic modeling for rapid language adaptation
Toward Computation and Memory Efficient Neural Network Acoustic Models with Binary Weights and Activations
A study on deep neural network acoustic model adaptation for robust far-field speech recognition.
Mixup-Based Acoustic Scene Classification Using Multi-Channel Convolutional Neural Network
Test-time Data Augmentation for Estimation of Heteroscedastic Aleatoric Uncertainty in Deep Neural Networks
Deep mixture density networks for acoustic modeling in statistical parametric speech synthesis
Training Neural Speech Recognition Systems with Synthetic Speech Augmentation
Training data selection for acoustic modeling via submodular optimization of joint kullback-leibler divergence.
Reverberant speech recognition combining deep neural networks and deep autoencoders augmented with a phone-class feature
Neural network acoustic models for the DARPA RATS program.
Multi-accent deep neural network acoustic model with accent-specific top layer using the KLD-regularized model adaptation.
Adversarial training for data-driven speech enhancement without parallel corpus
A neural network alternative to non-negative audio models
Large scale deep neural network acoustic modeling with semi-supervised training data for YouTube video transcription
Improved Mixed-Example Data Augmentation
An Experimental Study on Speech Enhancement Based on Deep Neural Networks
Boosting ridge regression
A two-dimensional interpolation function for irregularly-spaced data
Brief and rare mental “breaks” keep you focused: Deactivation and reactivation of task goals preempt vigilance decrements
Feature engineering in Context-Dependent Deep Neural Networks for conversational speech transcription
VISAGE: Interactive Visual Graph Querying