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arXiv · 2008.05983

Cross attentive pooling for speaker verification

Seong Min Kye·Yoohwan Kwon·Joon Son Chung
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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 utilizes 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.

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BibTeXRIS

Seong Min Kye, Yoohwan Kwon, Joon Son Chung. 2020-08-13. Cross attentive pooling for speaker verification. https://arxiv.org/abs/2008.05983

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