We propose a benchmark of state-of-the-art sound event detection systems (SED). We
design synthetic evaluation sets to focus on specific sound event detection challenges. We …

In this paper we present our system for the Detection and Classification of Acoustic Scenes
and Events (DCASE) 2021 Challenge Task 4: Sound Event Detection and Separation in …

State of the art architectures for untrimmed video Temporal Action Localization (TAL) have
only considered RGB and Flow modalities, leaving the information-rich audio modality totally …

Sound Event Detection remains a challenging task due to the lack of strongly labeled data.
While the use of weakly labeled and unlabeled data can alleviate this issue, most state-of …

The sense of hearing is fundamental to human beings, as it allows them to perceive their
surroundings. However, this simple task of recognizing different sounds in complex …

In this paper we present our system for the detection and classification of acoustic scenes
and events (DCASE) 2020 Challenge Task 4: Sound event detection and separation in …

This paper describes how semi-supervised learning, called peer collaborative learning
(PCL), can be applied to the polyphonic sound event detection (PSED) task, which is one of …

Recently, an event-based end-to-end model (SEDT) has been proposed for sound event
detection (SED) and achieves competitive performance. However, compared with the frame …

The development of a sound event detection (SED) system is no trivial task where one has
to consider both audio tagging and temporal localization concurrently. Often model …

Sound event detection (SED) is an active area of audio research that aims to detect the
temporal occurrence of sounds. In this paper, we apply SED to engine fault detection by …