Fsd50k: an open dataset of human-labeled sound events
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 …
specific, with the exception of AudioSet, based on over 2 M tracks from YouTube videos and …
MIMII Dataset: Sound dataset for malfunctioning industrial machine investigation and inspection
Factory machinery is prone to failure or breakdown, resulting in significant expenses for
companies. Hence, there is a rising interest in machine monitoring using different sensors …
companies. Hence, there is a rising interest in machine monitoring using different sensors …
Sound event detection in domestic environments with weakly labeled data and soundscape synthesis
This paper presents Task 4 of the Detection and Classification of Acoustic Scenes and
Events (DCASE) 2019 challenge and provides a first analysis of the challenge results. The …
Events (DCASE) 2019 challenge and provides a first analysis of the challenge results. The …
Smart cities data: Framework, applications, and challenges
Recent technological developments and the availability of enormous amounts of real-time
data have played a vital role in the expansion, evolution, and success of smart city projects …
data have played a vital role in the expansion, evolution, and success of smart city projects …
General-purpose tagging of freesound audio with audioset labels: Task description, dataset, and baseline
This paper describes Task 2 of the DCASE 2018 Challenge, titled" General-purpose audio
tagging of Freesound content with AudioSet labels". This task was hosted on the Kaggle …
tagging of Freesound content with AudioSet labels". This task was hosted on the Kaggle …
Anomalous sound event detection: A survey of machine learning based methods and applications
With the development of multi-modal man-machine interaction, audio signal analysis is
gaining importance in a field traditionally dominated by video. In particular, anomalous …
gaining importance in a field traditionally dominated by video. In particular, anomalous …
Training sound event detection on a heterogeneous dataset
N Turpault, R Serizel - arXiv preprint arXiv:2007.03931, 2020 - arxiv.org
Training a sound event detection algorithm on a heterogeneous dataset including both
recorded and synthetic soundscapes that can have various labeling granularity is a non …
recorded and synthetic soundscapes that can have various labeling granularity is a non …
Weakly-supervised sound event detection with self-attention
In this paper, we propose a novel sound event detection (SED) method that incorporates a
self-attention mechanism of the Transformer for a weakly-supervised learning scenario. The …
self-attention mechanism of the Transformer for a weakly-supervised learning scenario. The …
Sound event detection in the DCASE 2017 challenge
Each edition of the challenge on Detection and Classification of Acoustic Scenes and Events
(DCASE) contained several tasks involving sound event detection in different setups …
(DCASE) contained several tasks involving sound event detection in different setups …
Cross-task learning for audio tagging, sound event detection and spatial localization: DCASE 2019 baseline systems
The Detection and Classification of Acoustic Scenes and Events (DCASE) 2019 challenge
focuses on audio tagging, sound event detection and spatial localisation. DCASE 2019 …
focuses on audio tagging, sound event detection and spatial localisation. DCASE 2019 …