Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: On the compression of recurrent neural networks with an application to LVCSR acoustic modeling for embedded speech recognition
Long Short-Term Memory Recurrent Neural Network Architectures for Large Scale Acoustic Modeling
THE USE OF RECURRENT NEURAL NETWORKS IN CONTINUOUS SPEECH RECOGNITION
On training the recurrent neural network encoder-decoder for large vocabulary end-to-end speech recognition
Learning factorized transforms for unsupervised adaptation of LSTM-RNN acoustic models
A Study of the Recurrent Neural Network Encoder-Decoder for Large Vocabulary Speech Recognition
Neural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition
Bidirectional recurrent neural network language models for automatic speech recognition
Rapid retraining on speech data with LSTM recurrent networks
TROPE R HCRAESE R PAID I END-TO-END ACOUSTIC MODELING USING CONVOLUTIONAL NEURAL NETWORKS FOR AUTOMATIC SPEECH RECOGNITION
Toward Computation and Memory Efficient Neural Network Acoustic Models with Binary Weights and Activations
Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding.
Modeling Time-Frequency Patterns with LSTM vs. Convolutional Architectures for LVCSR Tasks
Multi-view Recurrent Neural Acoustic Word Embeddings
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
Unidirectional long short-term memory recurrent neural network with recurrent output layer for low-latency speech synthesis
Robust Speech Recognition using Long Short-Term Memory Recurrent Neural Networks for Hybrid Acoustic Modelling
Late Reverberation Suppression Using Recurrent Neural Networks with Long Short-Term Memory
Improving deep neural networks for LVCSR using rectified linear units and dropout
Acoustic Modeling Using Bidirectional Gated Recurrent Convolutional Units.
Investigating Bidirectional Recurrent Neural Network Language Models for Speech Recognition
Emergence of KRAS mutations and acquired resistance to anti-EGFR therapy in colorectal cancer
OAM modulation induced in millimeter waves using impedance matched flat phase plate
hyperqa : hyperbolic embeddings for fast and e icient ranking of estion answer pairs .
Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition
fabric defect detection using deep learning .