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Cross attentive pooling for speaker verification

2020-08-13 15:59:23
Seong Min Kye, Yoohwan Kwon, Joon Son Chung
arXiv_SD
       
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.

Abstract (translated)

URL

https://arxiv.org/abs/2008.05983

PDF

https://arxiv.org/pdf/2008.05983.pdf

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