Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: An information fusion approach to recognizing microphone array speech in the CHiME-3 challenge based on a deep learning framework
The third ‘CHiME’ speech separation and recognition challenge: Dataset, task and baselines
Maximum Likelihood Sound Source Localization and Beamforming for Directional Microphone Arrays in Distributed Meetings
Audio-visual deep learning for noise robust speech recognition
Mapping Mel sub-band energies using Deep belief network for robust speech recognition
Audio-visual speech recognition using deep learning
Chapter 8 Robust Features in Deep Learning-Based Speech Recognition
Unified Architecture for Multichannel End-to-End Speech Recognition With Neural Beamforming
Applications of a 3-D microphone array
Multichannel Signal Processing With Deep Neural Networks for Automatic Speech Recognition
A Unified Deep Neural Network for Speaker and Language Recognition
Recurrent deep neural networks for robust speech recognition
Phase-sensitive and recognition-boosted speech separation using deep recurrent neural networks
The PASCAL CHiME Speech Separation and Recognition Challenge
An unsupervised deep domain adaptation approach for robust speech recognition
End-to-End Architectures for Speech Recognition
Deep neural network based speech separation for robust speech recognition
Monaural speech separation and recognition challenge
Multi-task joint-learning of deep neural networks for robust speech recognition
Distilling Knowledge from Ensembles of Neural Networks for Speech Recognition
Audio-visual speech activity detection in a two-speaker scenario incorporating depth information from a profile or frontal view
Marketing Social Marketing in the Social Change Marketplace
Scalable Minimum Bayes Risk Training of Deep Neural Network Acoustic Models Using Distributed Hessian-free Optimization.
Make a 2D RPG in a Weekend
Transliteration Based Text Input Methods for Telugu
AutoPaG: towards automated software patch generation with source code root cause identification and repair