Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: On parallelizability of stochastic gradient descent for speech DNNS
Optimization Techniques to Improve Training Speed of Deep Neural Networks for Large Speech Tasks
Accelerating Deep Neural Network Training with Inconsistent Stochastic Gradient Descent
New types of deep neural network learning for speech recognition and related applications: an overview
Recurrent deep neural networks for robust speech recognition
A study of speaker adaptation for DNN-based speech synthesis
Improving Trajectory Modelling for DNN-based Speech Synthesis by using Stacked Bottleneck Features and Minimum Generation Error Training
A network of deep neural networks for Distant Speech Recognition
Parallelized stochastic gradient descent
Small-footprint Deep Neural Networks with Highway Connections for Speech Recognition
Deep neural networks for acoustic modeling in speech recognition
An investigation into learning effective speaker subspaces for robust unsupervised DNN adaptation
Factorized deep neural networks for adaptive speech recognition
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
Experiments on deep learning for speech denoising
Parallel WaveNet: Fast High-Fidelity Speech Synthesis
Distilling Knowledge from Ensembles of Neural Networks for Speech Recognition
Adaptive learning rates and parallelization for stochastic, sparse, non-smooth gradients
Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding.
Deep neural networks employing Multi-Task Learning and stacked bottleneck features for speech synthesis
Deep Convex Net: A Scalable Architecture for Speech Pattern Classification.
Pander to ponder
Character-based Neural Networks for Sentence Pair Modeling
Toward automatic phenotyping of developing embryos from videos
High-Isolation XX-Polar Antenna
MyLifeBits: fulfilling the Memex vision