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SOTA
Lipreading
Lipreading On Cmlr
Lipreading On Cmlr
Metrics
CER
Results
Performance results of various models on this benchmark
Columns
Model Name
CER
Paper Title
WAS
38.93%
A Cascade Sequence-to-Sequence Model for Chinese Mandarin Lip Reading
LipCH-Net
34.07%
A Cascade Sequence-to-Sequence Model for Chinese Mandarin Lip Reading
CSSMCM
32.48%
A Cascade Sequence-to-Sequence Model for Chinese Mandarin Lip Reading
LIBS
31.27%
Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers
CTC/Attention
9.1%
Visual Speech Recognition for Multiple Languages in the Wild
0 of 5 row(s) selected.
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Next
HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
Lipreading
Lipreading On Cmlr
Lipreading On Cmlr
Metrics
CER
Results
Performance results of various models on this benchmark
Columns
Model Name
CER
Paper Title
WAS
38.93%
A Cascade Sequence-to-Sequence Model for Chinese Mandarin Lip Reading
LipCH-Net
34.07%
A Cascade Sequence-to-Sequence Model for Chinese Mandarin Lip Reading
CSSMCM
32.48%
A Cascade Sequence-to-Sequence Model for Chinese Mandarin Lip Reading
LIBS
31.27%
Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers
CTC/Attention
9.1%
Visual Speech Recognition for Multiple Languages in the Wild
0 of 5 row(s) selected.
Previous
Next
Lipreading On Cmlr | SOTA | HyperAI