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• W3147324749 abstract "The goal of this paper is text-independent speaker verification where utterances come from `in the wild' videos and may contain irrelevant signal. While speaker verification is naturally a pair-wise problem, existing methods to produce the speaker embeddings are instance-wise. In this paper, we propose Cross Attentive Pooling (CAP) that utilises the context information across the reference-query pair to generate utterance-level embeddings that contain the most discriminative information for the pair-wise matching problem. Experiments are performed on the VoxCeleb dataset in which our method outperforms comparable pooling strategies." @default.
• W3147324749 created "2021-04-13" @default.
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• W3147324749 date "2021-01-19" @default.
• W3147324749 modified "2023-09-25" @default.
• W3147324749 title "Cross Attentive Pooling for Speaker Verification" @default.
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• W3147324749 doi "https://doi.org/10.1109/slt48900.2021.9383565" @default.
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