Papers with Code 아카이브
Text-Independent Speaker Recognition
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/shkim816/temporal_dynamic_cnn
공식 코드https://github.com/wentaozhu/speechnas
공식 코드https://github.com/wutong18/Three-Dimensional-Lip-Motion-Network-for-Text-Independent-Speaker-Recognition
공식 코드Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition
https://github.com/MindCode-4/code-13/tree/main/Three-Dimensional-Lip-Motion-Network-for-Text-Independent-Speaker-Recognition-master
Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition
https://github.com/MindCode-4/code-9/tree/main/Three-Dimensional-Lip-Motion-Network-for-Text-Independent-Speaker-Recognition-master
Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition
https://github.com/MindCode-4/code-9/tree/main/Two-Layer-ReLU-Network-Analytically
Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition
https://github.com/Splinter0/CoughCNN
https://github.com/jlian2/Masked-Proxy-Loss-for-Text-Indepedent-Speaker-Verification
https://github.com/pwc-1/Paper-9/tree/main/3/Three-Dimensional-Lip-Motion-Network-for-Text-Independent-Speaker-Recognition-master
Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition
https://github.com/pwc-1/Paper-9/tree/main/4/Three-Dimensional-Lip-Motion-Network-for-Text-Independent-Speaker-Recognition-master
Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.