Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Audio-visual speech recognition in noisy audio environments
Recent advances in the automatic recognition of audio-visual speech
An Overview of Noise-Robust Automatic Speech Recognition
The Conversation: Deep Audio-Visual Speech Enhancement
Analysis of Audio-Visual Features for Unsupervised Speech Recognition
Audio-visual speech recognition using deep learning
Investigation of Speech Separation as a Front-End for Noise Robust Speech Recognition
Noise Adaptive StreamWeighting in Audio-Visual Speech Recognition
Deep multimodal learning for Audio-Visual Speech Recognition
Large-vocabulary audio-visual speech recognition by machines and humans
Reconstructing intelligible audio speech from visual speech features
Strategies for distant speech recognitionin reverberant environments
Integration of acoustic and visual speech signals using neural networks
Speech feature denoising and dereverberation via deep autoencoders for noisy reverberant speech recognition
Very Deep Convolutional Neural Networks for Noise Robust Speech Recognition
Deep Audio-Visual Speech Recognition
Autocorrelation-based noise subtraction method with smoothing, overestimation, energy, and cepstral mean and variance normalization for noisy speech recognition
Temporal Multimodal Learning in Audiovisual Speech Recognition
Deep Learning for Acoustic Echo Cancellation in Noisy and Double-Talk Scenarios
An online sequence-to-sequence model for noisy speech recognition
15 Adaptive Decision Fusion for Audio-Visual Speech Recognition
malnutrition in hospital outpatients and inpatients : prevalence , concurrent validity and ease of use of the ' malnutrition universal screening tool ' ( ' must ' ) for adults .
Audio-Visual Integration in Multimodal Communication
Design and Development of the Long-Jumping "Grillo" Mini Robot
Low-Latency Audio Pitch Tracking: A Multi-Modal Sensor-Assisted Approach
Bio-Inspired Optic Flow from Event-Based Neuromorphic Sensor Input