Fsd50k: an open dataset of human-labeled sound events

E Fonseca, X Favory, J Pons, F Font… - IEEE/ACM Transactions …, 2021 - ieeexplore.ieee.org
Most existing datasets for sound event recognition (SER) are relatively small and/or domain-
specific, with the exception of AudioSet, based on over 2 M tracks from YouTube videos and …

Self-trained audio tagging and sound event detection in domestic environments

J Ebbers, R Haeb-Umbach - Proceedings of the 6th Detection …, 2021 - ris.uni-paderborn.de
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 …

Forward-backward convolutional recurrent neural networks and tag-conditioned convolutional neural networks for weakly labeled semi-supervised sound event …

J Ebbers, R Haeb-Umbach - arXiv preprint arXiv:2103.06581, 2021 - arxiv.org
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 …

On the Task of Classifying Sound Patterns in Transport

M Gorodnichev, G Mkrtchian… - … in the Field of on Board …, 2023 - ieeexplore.ieee.org
The paper considers methods of collecting audio information about traffic events. The
analysis of existing approaches to the extraction of audio patterns is given, the advantages …

Comparison of artificial neural network types for infant vocalization classification

F Anders, M Hlawitschka… - IEEE/ACM Transactions on …, 2020 - ieeexplore.ieee.org
In this study we compared various neural network types for the task of automatic infant
vocalization classification, ie convolutional, recurrent and fully-connected networks as well …

Comparative assessment of data augmentation for semi-supervised polyphonic sound event detection

L Delphin-Poulat, R Nicol, C Plapous… - 2020 27th Conference …, 2020 - ieeexplore.ieee.org
In the context of audio ambient intelligence systems in Smart Buildings, polyphonic Sound
Event Detection aims at detecting, localizing and classifying any sound event recorded in a …

GISE-51: A scalable isolated sound events dataset

S Yadav, ME Foster - arXiv preprint arXiv:2103.12306, 2021 - arxiv.org
Most of the existing isolated sound event datasets comprise a small number of sound event
classes, usually 10 to 15, restricted to a small domain, such as domestic and urban sound …

[PDF][PDF] Convolutional recurrent neural networks for weakly labeled semi-supervised sound event detection in domestic environments

J Ebbers, R Haeb-Umbach - Paderborn University, Paderborn …, 2020 - dcase.community
In this report we present our system for the Detection and Classification of acoustic scenes
and events (DCASE) 2020 Challenge Task 4: Sound event detection in domestic …

Adapting sound recognition to a new environment via self-training

J Ebbers, MC Keyser… - 2021 29th European …, 2021 - ieeexplore.ieee.org
Recently, there has been a rising interest in sound recognition via acoustic sensor networks
(ASNs) to support applications such as ambient assisted living or environmental habitat …

Μελέτη και ανάπτυξη συστήματος ανίχνευσης θέσεων πάρκινγκ με τη χρήση αισθητήρων και IoT (Internet of things)

Ο ΜΠΟΓΚΙΤΣΕΒΙΤΣ - 2023 - repository.library.teiwest.gr
Η πτυχιακή εργασία με τίτλο" Μελέτη και Ανάπτυξη Συστήματος Ανίχνευσης Θέσεων Πάρκινγκ
με Χρήση Αισθητήρων και Internet of Things" επικεντρώνεται στον σχεδιασμό και την …