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About Deep Audio-Visual Speech Recognition
1) The paper presents two models for lip reading - one using a CTC loss and one using a sequence-to-sequence loss. Both models are built on the transformer self-attention architecture. 2) The paper investigates how lip reading can complement audio speech recognition, especially in noisy environments. 3) The paper introduces a new dataset called LRS2-BBC consisting of thousands of natural sentences from British television for audio-visual speech recognition.
Detailed Information
Author: | ['holisson'] |
---|---|
Publication Year: | 2019 |
Pages: | 13 |
Language: | English |
Format: | |
Price: | FREE |
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