From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning

arXiv:2403.08525v1 Announce Type: cross
Abstract: In this work we propose an audio recording segmentation method based on an adaptive change point detection (A-CPD) for machine guided weak label annotation of audio recording segments. The goal is to maximize the amount of information gained about the temporal activation's of the target sounds. For each unlabeled audio recording, we use a prediction model to derive a probability curve used to guide annotation. The prediction model is initially pre-trained on available annotated sound …

abstract active learning annotation arxiv audio change cs.lg cs.sd detection event information labels machine recording segmentation sound temporal type work