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20182022
most citedClova Baseline System for the VoxCeleb Speaker Recognition Challenge 2020

97 citations · 276 across the 12 of their papers we have counts for

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7 papers · 1 filter

eess.AS2020

Graph Attention Networks for Speaker Verification

Jee-weon Jung, Hee-Soo Heo, Ha-Jin Yu +1

This work presents a novel back-end framework for speaker verification using graph attention networks. Segment-wise speaker embeddings extracted from multiple crops within an utter…

eess.AS202097 cited

Clova Baseline System for the VoxCeleb Speaker Recognition Challenge 2020

Hee Soo Heo, Bong-Jin Lee, Jaesung Huh +1

This report describes our submission to the VoxCeleb Speaker Recognition Challenge (VoxSRC) at Interspeech 2020. We perform a careful analysis of speaker recognition models based o…

eess.AS2020

Cross attentive pooling for speaker verification

Seong Min Kye, Yoohwan Kwon, Joon Son Chung

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 nat…

eess.AS2020

Metric Learning for Keyword Spotting

Jaesung Huh, Minjae Lee, Heesoo Heo +2

The goal of this work is to train effective representations for keyword spotting via metric learning. Most existing works address keyword spotting as a closed-set classification pr…

eess.AS2020

In defence of metric learning for speaker recognition

Joon Son Chung, Jaesung Huh, Seongkyu Mun +7

The objective of this paper is 'open-set' speaker recognition of unseen speakers, where ideal embeddings should be able to condense information into a compact utterance-level repre…

eess.AS2020

Disentangled Speech Embeddings using Cross-modal Self-supervision

Arsha Nagrani, Joon Son Chung, Samuel Albanie +1

The objective of this paper is to learn representations of speaker identity without access to manually annotated data. To do so, we develop a self-supervised learning objective tha…