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20182025
most citedSASV Challenge 2022: A Spoofing Aware Speaker Verification Challenge Evaluation Plan

16 citations · 124 across the 40 of their papers we have counts for

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Showing 2022 · eess.ASShow all

7 papers · 2 filters

eess.AS2022

Absolute decision corrupts absolutely: conservative online speaker diarisation

Youngki Kwon, Hee-Soo Heo, Bong-Jin Lee +2

Our focus lies in developing an online speaker diarisation framework which demonstrates robust performance across diverse domains. In online speaker diarisation, outputs generated…

eess.AS2022

Disentangled representation learning for multilingual speaker recognition

Kihyun Nam, Youkyum Kim, Jaesung Huh +3

The goal of this paper is to learn robust speaker representation for bilingual speaking scenario. The majority of the world's population speak at least two languages; however, most…

eess.AS2022

Frequency and Multi-Scale Selective Kernel Attention for Speaker Verification

Sung Hwan Mun, Jee-weon Jung, Min Hyun Han +1

The majority of recent state-of-the-art speaker verification architectures adopt multi-scale processing and frequency-channel attention mechanisms. Convolutional layers of these mo…

eess.AS2022★ 3 cited

Pushing the limits of raw waveform speaker recognition

Jee-weon Jung, You Jin Kim, Hee-Soo Heo +3

In recent years, speaker recognition systems based on raw waveform inputs have received increasing attention. However, the performance of such systems are typically inferior to the…

eess.AS2022★ 5 cited

SASV 2022: The First Spoofing-Aware Speaker Verification Challenge

Jee-weon Jung, Hemlata Tak, Hye-jin Shim +6

The first spoofing-aware speaker verification (SASV) challenge aims to integrate research efforts in speaker verification and anti-spoofing. We extend the speaker verification scen…

eess.AS2022★ 1 cited

Curriculum learning for self-supervised speaker verification

Hee-Soo Heo, Jee-weon Jung, Jingu Kang +4

The goal of this paper is to train effective self-supervised speaker representations without identity labels. We propose two curriculum learning strategies within a self-supervised…