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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 2020 · eess.ASShow all

8 papers · 2 filters

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.AS2020

DcaseNet: An integrated pretrained deep neural network for detecting and classifying acoustic scenes and events

Jee-weon Jung, Hye-jin Shim, Ju-ho Kim +1

Although acoustic scenes and events include many related tasks, their combined detection and classification have been scarcely investigated. We propose three architectures of deep…

eess.AS2020★ 2 cited

Capturing scattered discriminative information using a deep architecture in acoustic scene classification

Hye-jin Shim, Jee-weon Jung, Ju-ho Kim +1

Frequently misclassified pairs of classes that share many common acoustic properties exist in acoustic scene classification (ASC). To distinguish such pairs of classes, trivial det…

eess.AS2020★ 11 cited

Integrated Replay Spoofing-aware Text-independent Speaker Verification

Hye-jin Shim, Jee-weon Jung, Ju-ho Kim +2

A number of studies have successfully developed speaker verification or presentation attack detection systems. However, studies integrating the two tasks remain in the preliminary…

eess.AS2020★ 7 cited

Improved RawNet with Feature Map Scaling for Text-independent Speaker Verification using Raw Waveforms

Jee-weon Jung, Seung-bin Kim, Hye-jin Shim +2

Recent advances in deep learning have facilitated the design of speaker verification systems that directly input raw waveforms. For example, RawNet extracts speaker embeddings from…

eess.AS2020★ 1 cited

Segment Aggregation for short utterances speaker verification using raw waveforms

Seung-bin Kim, Jee-weon Jung, Hye-jin Shim +2

Most studies on speaker verification systems focus on long-duration utterances, which are composed of sufficient phonetic information. However, the performances of these systems ar…