3 papers
eess.SP2026
Neural Tracking of Sustained Attention, Attention Switching, and Natural Conversation in Audiovisual Environments using Mobile EEG
Johanna Wilroth, Oskar Keding, Martin A. Skoglund +3
Everyday communication is dynamic and multisensory, often involving shifting attention, overlapping speech and visual cues. Yet, most neural attention tracking studies are still li…
cs.LG2025
The Accuracy Cost of Weakness: A Theoretical Analysis of Fixed-Segment Weak Labeling for Events in Time
John Martinsson, Tuomas Virtanen, Maria Sandsten +1
Accurate labels are critical for deriving robust machine learning models. Labels are used to train supervised learning models and to evaluate most machine learning paradigms. In th…
cs.SD2024
From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning
John Martinsson, Olof Mogren, Maria Sandsten +1
We propose an adaptive change point detection method (A-CPD) for machine guided weak label annotation of audio recording segments. The goal is to maximize the amount of information…