16 citations · 89 across the 17 of their papers we have counts for
18 papers
AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks
Jee-weon Jung, Hee-Soo Heo, Hemlata Tak +5
Artefacts that differentiate spoofed from bona-fide utterances can reside in spectral or temporal domains. Their reliable detection usually depends upon computationally demanding e…
Learning Metrics from Mean Teacher: A Supervised Learning Method for Improving the Generalization of Speaker Verification System
Ju-ho Kim, Hye-jin Shim, Jee-weon Jung +1
Most speaker verification tasks are studied as an open-set evaluation scenario considering the real-world condition. Thus, the generalization power to unseen speakers is of paramou…
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…
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…
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…
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…