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Lipreading

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크
1
평가표
8
보존된 평가 기록
92

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.

평가 결과

데이터셋과 평가 조건을 선택해 성능·논문·코드를 비교하세요. 보존된 Papers with Code 기록으로, 최신 순위는 아닙니다.

LRS2

원본 태스크: Natural Language Transduction / Lipreading

평가 기록 24건

LRS3-TED

원본 태스크: Natural Language Transduction / Lipreading

평가 기록 22건

CMLR

원본 태스크: Natural Language Transduction / Lipreading

평가 기록 5건

LRW

원본 태스크: Natural Language Transduction / Lipreading / Landmark-based Lipreading

평가 기록 5건

LRW-1000

원본 태스크: Natural Language Transduction / Lipreading

평가 기록 4건

CAS-VSR-S101

원본 태스크: Natural Language Transduction / Lipreading

평가 기록 1건

LRS2

원본 태스크: Natural Language Transduction / Lipreading / Landmark-based Lipreading

평가 기록 1건

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.