1 citations · 1 across the 4 of their papers we have counts for
5 papers
Mitigating Intra-Speaker Variability in Diarization with Style-Controllable Speech Augmentation
Miseul Kim, Soo Jin Park, Kyungguen Byun +4
Speaker diarization systems often struggle with high intrinsic intra-speaker variability, such as shifts in emotion, health, or content. This can cause segments from the same speak…
Development of Image Collection Method Using YOLO and Siamese Network
Chan Young Shin, Ah Hyun Lee, Jun Young Lee +2
As we enter the era of big data, collecting high-quality data is very important. However, collecting data by humans is not only very time-consuming but also expensive. Therefore, m…
HCLAS-X: Hierarchical and Cascaded Lyrics Alignment System Using Multimodal Cross-Correlation
Minsung Kang, Soochul Park, Keunwoo Choi
In this work, we address the challenge of lyrics alignment, which involves aligning the lyrics and vocal components of songs. This problem requires the alignment of two distinct mo…
GSEP: A robust vocal and accompaniment separation system using gated CBHG module and loudness normalization
Soochul Park, Ben Sangbae Chon
In the field of audio signal processing research, source separation has been a popular research topic for a long time and the recent adoption of the deep neural networks have shown…
Variable frame rate-based data augmentation to handle speaking-style variability for automatic speaker verification
Amber Afshan, Jinxi Guo, Soo Jin Park +3
The effects of speaking-style variability on automatic speaker verification were investigated using the UCLA Speaker Variability database which comprises multiple speaking styles p…