12 citations · 35 across the 8 of their papers we have counts for
8 papers
Convolution channel separation and frequency sub-bands aggregation for music genre classification
Jungwoo Heo, Hyun-seo Shin, Ju-ho Kim +2
In music, short-term features such as pitch and tempo constitute long-term semantic features such as melody and narrative. A music genre classification (MGC) system should be able…
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…
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…
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…
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…