Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Deep Recurrent Neural Networks for Acoustic Modelling
Long Short-Term Memory Recurrent Neural Network Architectures for Large Scale Acoustic Modeling
A Multistage Training Framework for Acoustic-to-Word Model
Deep Recurrent Neural Networks in Speech Synthesis Using a Continuous Vocoder
Self-Attentional Acoustic Models
Deep neural networks for acoustic emotion recognition: Raising the benchmarks
Investigation of full-sequence training of deep belief networks for speech recognition
Reverberant speech recognition combining deep neural networks and deep autoencoders augmented with a phone-class feature
Training and analyzing deep recurrent neural networks
Articulatory movement prediction using deep bidirectional long short-term memory based recurrent neural networks and word/phone embeddings.
Learning acoustic frame labeling for speech recognition with recurrent neural networks
Factorized deep neural networks for adaptive speech recognition
Scalable Minimum Bayes Risk Training of Deep Neural Network Acoustic Models Using Distributed Hessian-free Optimization.
End-to-End Deep Neural Network for Automatic Speech Recognition
Investigation of deep neural networks (DNN) for large vocabulary continuous speech recognition: Why DNN surpasses GMMS in acoustic modeling
Speaker adaptive training of deep neural network acoustic models using i-vectors
A deep scattering spectrum — Deep Siamese network pipeline for unsupervised acoustic modeling
A probabilistic latent variable model for acoustic modeling
Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech Recognition
Neural network acoustic models for the DARPA RATS program.
Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding.
Graph-based anomaly detection
Effect of Chlorogenic Acid on Melanogenesis of B16 Melanoma Cells
System Dynamics and Uncertainty
On the importance of initialization and momentum in deep learning
Computing multidimensional persistence