Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: End-to-End Audiovisual Speech Recognition
End-to-end visual speech recognition with LSTMS
Attention-Based End-to-End Speech Recognition in Mandarin
Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks
End-to-end attention-based large vocabulary speech recognition
Auxiliary Multimodal LSTM for Audio-visual Speech Recognition and Lipreading
The Conversation: Deep Audio-Visual Speech Enhancement
End-to-End Subtitle Detection and Recognition for Videos in East Asian Languages via CNN Ensemble with Near-Human-Level Performance
Audio-visual speech recognition using deep bottleneck features and high-performance lipreading
Audio-Visual Speech Enhancement based on Multimodal Deep Convolutional Neural Network
Multimodal speech recognition: increasing accuracy using high speed video data
Inverted Alignments for End-to-End Automatic Speech Recognition
Improving Lip-reading Performance for Robust Audiovisual Speech Recognition using DNNs
Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition
Unified Architecture for Multichannel End-to-End Speech Recognition With Neural Beamforming
End-to-End Deep Neural Network for Automatic Speech Recognition
AENet: Learning Deep Audio Features for Video Analysis
Cycle-consistency Training for End-to-end Speech Recognition
Noise Adaptive StreamWeighting in Audio-Visual Speech Recognition
Deep learning for robust feature generation in audiovisual emotion recognition
A three-dimensional approach to Visual Speech Recognition using Discrete Cosine Transforms
Adverse effects of 5α-reductase inhibitors: What do we know, don’t know, and need to know?
Overview of Current Additive Manufacturing Technologies and Selected Applications
Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention
Audio-visual speech recognition using deep bottleneck features and high-performance lipreading
Quantifying Trading Behavior in Financial Markets Using Google Trends