Long short-term memory recurrent neural network architectures for large scale acoustic modeling
Short-term memory to long-term memory transition in a nanoscale memristor.
Learning long-term dependencies in NARX recurrent neural networks
An Unsupervised Speaker Clustering Technique based on SOM and I-vectors for Speech Recognition Systems
Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition
Translating Videos to Natural Language Using Deep Recurrent Neural Networks