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Lipreading

Natural Language Transduction › Lipreading 98 평가 기록 10 datasets

Lipreading is a process of extracting speech by watching lip movements of a speaker in the absence of sound. Humans lipread all the time without even noticing. It is a big part in communication albeit not as dominant as audio. It is a very helpful skill to learn especially for those who are hard of hearing.

Deep Lipreading is the process of extracting speech from a video of a silent talking face using deep neural networks. It is also known by few other names: Visual Speech Recognition (VSR), Machine Lipreading, Automatic Lipreading etc.

The primary methodology involves two stages: i) Extracting visual and temporal features from a sequence of image frames from a silent talking video ii) Processing the sequence of features into units of speech e.g. characters, words, phrases etc. We can find several implementations of this methodology either done in two separate stages or trained end-to-end in one go.

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Dataset기록된 모델 예시MetricPaperCode
Auto-AVSR
Word Error Rate (WER): 14.6
논문 코드
LP + Conformer
Word Error Rate (WER): 12.8
논문 -
SyncVSR (Word Boundary)
Top-1 Accuracy: 95.0
논문 코드
SyncVSR (Word Boundary)
Top-1 Accuracy: 58.2
논문 코드
CTC/Attention
CER: 9.1%
논문 코드
CTC/Attention
Word Error Rate (WER): 1.2
논문 코드
LRW
SyncVSR (Word Boundary)
Top 1 Accuracy: 80.3
논문 코드
3D Conv + ResNet-18 + MS-TCN
Top-1 Accuracy: 41.4%
논문 코드
ES³ Base*
Word Error Rate (WER): 55.6
논문 -
SyncVSR
Word Error Rate (WER): 74.6
논문 코드

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