4 citations · 13 across the 8 of their papers we have counts for
9 papers
Uncertainty Estimation in the Real World: A Study on Music Emotion Recognition
Karn N. Watcharasupat, Yiwei Ding, T. Aleksandra Ma +2
Any data annotation for subjective tasks shows potential variations between individuals. This is particularly true for annotations of emotional responses to musical stimuli. While…
Preliminary assessment of a cost-effective headphone calibration procedure for soundscape evaluations
Bhan Lam, Kenneth Ooi, Karn N. Watcharasupat +4
The introduction of ISO 12913-2:2018 has provided a framework for standardized data collection and reporting procedures for soundscape practitioners. A strong emphasis was placed o…
Latte: Cross-framework Python Package for Evaluation of Latent-Based Generative Models
Karn N. Watcharasupat, Junyoung Lee, Alexander Lerch
Latte (for LATent Tensor Evaluation) is a Python library for evaluation of latent-based generative models in the fields of disentanglement learning and controllable generation. Lat…
AVASpeech-SMAD: A Strongly Labelled Speech and Music Activity Detection Dataset with Label Co-Occurrence
Yun-Ning Hung, Karn N. Watcharasupat, Chih-Wei Wu +4
We propose a dataset, AVASpeech-SMAD, to assist speech and music activity detection research. With frame-level music labels, the proposed dataset extends the existing AVASpeech dat…
Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes
Karn N. Watcharasupat, Alexander Lerch
Controllable music generation with deep generative models has become increasingly reliant on disentanglement learning techniques. However, current disentanglement metrics, such as…
Improving Polyphonic Sound Event Detection on Multichannel Recordings with the Sørensen-Dice Coefficient Loss and Transfer Learning
Karn N. Watcharasupat, Thi Ngoc Tho Nguyen, Ngoc Khanh Nguyen +3
The Sørensen--Dice Coefficient has recently seen rising popularity as a loss function (also known as Dice loss) due to its robustness in tasks where the number of negative samples…