activity
20222024
most citedConvolution channel separation and frequency sub-bands aggregation for music genre classification

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS2024

MR-RawNet: Speaker verification system with multiple temporal resolutions for variable duration utterances using raw waveforms

Seung-bin Kim, Chan-yeong Lim, Jungwoo Heo +4

In speaker verification systems, the utilization of short utterances presents a persistent challenge, leading to performance degradation primarily due to insufficient phonetic info…

cs.SD2023

HM-Conformer: A Conformer-based audio deepfake detection system with hierarchical pooling and multi-level classification token aggregation methods

Hyun-seo Shin, Jungwoo Heo, Ju-ho Kim +3

Audio deepfake detection (ADD) is the task of detecting spoofing attacks generated by text-to-speech or voice conversion systems. Spoofing evidence, which helps to distinguish betw…

eess.AS20232 cited

PAS: Partial Additive Speech Data Augmentation Method for Noise Robust Speaker Verification

Wonbin Kim, Hyun-seo Shin, Ju-ho Kim +3

Background noise reduces speech intelligibility and quality, making speaker verification (SV) in noisy environments a challenging task. To improve the noise robustness of SV system…

eess.AS2023

One-Step Knowledge Distillation and Fine-Tuning in Using Large Pre-Trained Self-Supervised Learning Models for Speaker Verification

Jungwoo Heo, Chan-yeong Lim, Ju-ho Kim +2

The application of speech self-supervised learning (SSL) models has achieved remarkable performance in speaker verification (SV). However, there is a computational cost hurdle in e…

eess.AS20222 cited

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…