Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Convolutional Neural Networks for Acoustic Modeling of Raw Time Signal in LVCSR
Acoustic modeling with deep neural networks using raw time signal for LVCSR.
Speaker-aware training of LSTM-RNNS for acoustic modelling
Deep convolutional neural networks for acoustic modeling in low resource languages
Improving deep neural networks for LVCSR using rectified linear units and dropout
Acoustic Modelling from the Signal Domain Using CNNs
TROPE R HCRAESE R PAID I END-TO-END ACOUSTIC MODELING USING CONVOLUTIONAL NEURAL NETWORKS FOR AUTOMATIC SPEECH RECOGNITION
Speech acoustic modeling from raw multichannel waveforms
Long Short-Term Memory Recurrent Neural Network Architectures for Large Scale Acoustic Modeling
Restructuring of Deep Neural Network Acoustic Models with Singular Value Decomposition
Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition
Learning factorized transforms for unsupervised adaptation of LSTM-RNN acoustic models
Acoustic Modeling Using Bidirectional Gated Recurrent Convolutional Units.
Deep Recurrent Neural Networks for Acoustic Modelling
SNR-Aware Convolutional Neural Network Modeling for Speech Enhancement.
Speech Enhancement with LSTM Recurrent Neural Networks and its Application to Noise-Robust ASR
Analyzing convolutional neural networks for speech activity detection in mismatched acoustic conditions
Convolutional-Recurrent Neural Networks for Speech Enhancement
Hierarchical Recurrent Neural Networks for Acoustic Modeling
Anatomy of an extremely fast LVCSR decoder
Audio Deepdream: Optimizing raw audio with convolutional networks
A Single Hemispiral Antenna for GNSS Interference Mitigation and Direction Estimation
Sphinx-4: A flexible open source framework for speech recognition
kvm: the Linux Virtual Machine Monitor
Cellulase processivity.
Mapping Generative Models onto a Network of Digital Spiking Neurons