Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Noisy training for deep neural networks in speech recognition
Optimization Techniques to Improve Training Speed of Deep Neural Networks for Large Speech Tasks
Autoencoder based multi-stream combination for noise robust speech recognition
Automatic optimization of data perturbation distributions for multi-style training in speech recognition
Discriminative Training for Large-Vocabulary Speech Recognition Using Minimum Classification Error
Unfolded recurrent neural networks for speech recognition.
KL-divergence regularized deep neural network adaptation for improved large vocabulary speech recognition
Fast Adaptation of Deep Neural Network Based on Discriminant Codes for Speech Recognition
Error detection and accuracy estimation in automatic speech recognition using deep bidirectional recurrent neural networks
Learning programs from noisy data
Investigating Generative Adversarial Networks based Speech Dereverberation for Robust Speech Recognition
Robust Loss Functions under Label Noise for Deep Neural Networks
Statistical parametric speech synthesis using deep neural networks
A Unified Deep Neural Network for Speaker and Language Recognition
An analysis of convolutional neural networks for speech recognition
Deep unsupervised learning from speech
Audio-visual speech recognition using deep learning
Semi-supervised maximum mutual information training of deep neural network acoustic models.
Making Deep Belief Networks effective for large vocabulary continuous speech recognition
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition
Deep Noise Tracking Network: A Hybrid Signal Processing/Deep Learning Approach to Speech Enhancement
Recursive Estimation of Motion, Structure, and Focal Length
A Stabilized Finite Element Method for Modified Poisson-Nernst-Planck Equations to Determine Ion Flow Through a Nanopore
Decision theoretic generalizations of the PAC model for neural net and other learning applications
Blockchain world - Feeding the blockchain beast if bitcoin ever does go mainstream, the electricity needed to sustain it will be enormous
Relationship of Calcaneal and Iliac Apophyseal Ossification to Peak Height Velocity Timing in Children