Core Concepts
음성-시각 모달리티 간의 강한 및 약한 보완적 관계를 동적으로 처리하는 DCA 모델 소개
Stats
"Extensive experiments are conducted on the Voxceleb1 dataset to demonstrate the robustness of the proposed model."
"Results indicate that the proposed model consistently improves the performance on multiple variants of cross-attention while outperforming the state-of-the-art methods."
"Out of 1251 speakers, 1211 speakers are partitioned as development set and 40 speakers as test set (Vox1-O)."
Quotes
"Audio and visual modalities are often expected to complement each other, which plays a crucial role in outperforming unimodal approaches."
"The proposed DCA model adds more flexibility to the CA framework and improves the fusion performance even when the modalities exhibit weak complementary relationships."