Cross Attentive Pooling for Speaker Verification

International Conference
2021-01-01 17:00
Authors : Seong Min Kye, Yoohwan Kwon, Joon Son Chung

Year : 2020

Publisher / Conference : IEEE Spoken Language Technology Workshop (SLT)

Research area : Speech Signal Processing, Speaker Recognition

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.
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