Sound Event Detection in the DCASE 2017 Challenge [PDF]
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2019 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 2017 presented participants with three such tasks, each having specific datasets and detection requirements: Task 2, in which target sound events were very rare in both ...
Annamaria Mesaros +6 more
openaire +4 more sources
Couple learning for semi-supervised sound event detection
Interspeech 2022, 2022 Interspeech ...
Tao, Rui +3 more
openaire +2 more sources
ohun: An R package for diagnosing and optimizing automatic sound event detection
Methods in Ecology and Evolution, 2023 Animal acoustic signals are widely used in diverse research areas due to the relative ease with which sounds can be registered across a wide range of taxonomic groups and research settings.
Marcelo Araya‐Salas +6 more
doaj +1 more source
A joint separation-classification model for sound event detection of weakly labelled data [PDF]
, 2018 Source separation (SS) aims to separate individual sources from an audio recording. Sound event detection (SED) aims to detect sound events from an audio recording.
Kong, Qiuqiang +3 more
core +2 more sources
Polyphonic Sound Event Tracking Using Linear Dynamical Systems [PDF]
, 2017 In this paper, a system for polyphonic sound event detection and tracking is proposed, based on spectrogram factorisation techniques and state space models.
Benetos, E +3 more
core +1 more source
Semi-supervised Sound Event Detection Based on Meta Learning [PDF]
Jisuanji kexueExisting semi-supervised sound event detection methods directly utilize strongly labeled synthetic samples,weakly labeled real samples,and unlabeled real samples for training to alleviate the issue of insufficient labeled samples.However,there is an ...
SHEN Yaxin, GAO Lijian , MAO Qirong
doaj +1 more source
Applying an Ethical Lens to the Treatment of People With Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT The practice of neurology requires an understanding of clinical ethics for decision‐making. In multiple sclerosis (MS) care, there are a wide range of ethical considerations that may arise. These involve shared decision‐making around selection of a disease‐modifying therapy (DMT), risks and benefits of well‐studied medications in comparison to
Methma Udawatta, Farrah J. Mateen
wiley +1 more source
Weakly Supervised U-Net with Limited Upsampling for Sound Event Detection
Applied Sciences, 2023 Sound event detection (SED) is the task of finding the identities of sound events, as well as their onset and offset timings from audio recordings. When complete timing information is not available in the training data, but only the event identities are ...
Sangwon Lee, Hyemi Kim, Gil-Jin Jang
doaj +1 more source
Sound Event Detection with Sequentially Labelled Data Based on Connectionist Temporal Classification and Unsupervised Clustering [PDF]
, 2019 Sound event detection (SED) methods typically rely on either strongly labelled data or weakly labelled data. As an alternative, sequentially labelled data (SLD) was proposed.
Hou, Yuanbo +3 more
core +3 more sources
Vestibular Patient Journey: Insights From Vestibular Disorders Association (VeDA) Registry
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Vestibular symptoms impose a high burden of disability. Understanding real‐world diagnostic and treatment pathways can identify care gaps and guide interventions. We aimed to characterize symptom profiles, diagnostic trends, provider involvement, and treatment patterns in vestibular disorders.
Ali Rafati +10 more
wiley +1 more source