38 citations · 69 across the 20 of their papers we have counts for
4 papers · 1 filter
FilterAugment: An Acoustic Environmental Data Augmentation Method
Hyeonuk Nam, Seong-Hu Kim, Yong-Hwa Park
Acoustic environments affect acoustic characteristics of sound to be recognized by physically interacting with sound wave propagation. Thus, training acoustic models for audio and…
Temporal Dynamic Convolutional Neural Network for Text-Independent Speaker Verification and Phonemetic Analysis
Seong-Hu Kim, Hyeonuk Nam, Yong-Hwa Park
In the field of text-independent speaker recognition, dynamic models that adapt along the time axis have been proposed to consider the phoneme-varying characteristics of speech. Ho…
Deep learning based cough detection camera using enhanced features
Gyeong-Tae Lee, Hyeonuk Nam, Seong-Hu Kim +3
Coughing is a typical symptom of COVID-19. To detect and localize coughing sounds remotely, a convolutional neural network (CNN) based deep learning model was developed in this wor…
Heavily Augmented Sound Event Detection utilizing Weak Predictions
Hyeonuk Nam, Byeong-Yun Ko, Gyeong-Tae Lee +4
The performances of Sound Event Detection (SED) systems are greatly limited by the difficulty in generating large strongly labeled dataset. In this work, we used two main approache…