Papers with Code 아카이브

Speaker-Specific Lip to Speech Synthesis

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 0
평가표: 7
보존된 평가 기록: 13

How accurately can we infer an individual’s speech style and content from his/her lip movements? [1]

In this task, the model is trained on a specific speaker, or a very limited set of speakers.

[1] Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis, CVPR 2020.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/Rudrabha/Lip2Wav

공식 코드

Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis

https://github.com/liuzhuang13/DenseNet

공식 코드

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https://github.com/0492wzl/tensorflow_slim_densenet

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https://github.com/0jason000/DenseNet

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https://github.com/2023-MindSpore-1/ms-code-146

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https://github.com/2023-MindSpore-1/ms-code-16/tree/main/3D_DenseNet

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