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Found 3 papers, 1 papers with code
End-to-End Multi-Person Audio/Visual Automatic Speech Recognition
Traditionally, audio-visual automatic speech recognition has been studied under the assumption that the speaking face on the visual signal is the face matching the audio.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Recurrent Neural Network Transducer for Audio-Visual Speech Recognition
This work presents a large-scale audio-visual speech recognition system based on a recurrent neural network transducer (RNN-T) architecture.
Ranked #5 on
Audio-Visual Speech Recognition
on LRS3-TED
(using extra training data)
Approximated Infomax Early Stopping: Revisiting Gaussian RBMs on Natural Images
We pursue an early stopping technique that helps Gaussian Restricted Boltzmann Machines (GRBMs) to gain good natural image representations in terms of overcompleteness and data fitting.
