End-to-End Lip-Reading Open Cloud-Based Speech Architecture

End-to-End Lip-Reading Open Cloud-Based Speech Architecture

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Deep learning technology has encouraged research on noise-robust automatic speech recognition (ASR). The combination of cloud computing technologies and artificial intelligence has significantly improved the performance of open cloud-based speech recognition application programming interfaces (OCSR...

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Bibliographic Details
Main Authors: Jeon, S. (Author), Kim, M.S (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Acoustic noise
application programming interface
Application programming interfaces (API)
Applications programming interfaces
audio-visual speech recognition
Audiovisual speech recognition
Cloud-based
Computer architecture
deep neural networks
Deep neural networks
End to end
Google+
Learning technology
Lip reading
lip-reading
MicroSoft
Multilayer neural networks
multi-modal interaction
Multimodal Interaction
Network architecture
Performance
Semantics
Signal to noise ratio
Speech
Speech recognition
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