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[HTML][HTML] Data augmentation and deep learning methods in sound classification: A systematic review
The aim of this systematic literature review (SLR) is to identify and critically evaluate current
research advancements with respect to small data and the use of data augmentation …
research advancements with respect to small data and the use of data augmentation …
Machine learning for multimodal mental health detection: a systematic review of passive sensing approaches
As mental health (MH) disorders become increasingly prevalent, their multifaceted
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …
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 …
Sound event localization and detection of overlap** sources using convolutional recurrent neural networks
In this paper, we propose a convolutional recurrent neural network for joint sound event
localization and detection (SELD) of multiple overlap** sound events in three-dimensional …
localization and detection (SELD) of multiple overlap** sound events in three-dimensional …
Spectral images based environmental sound classification using CNN with meaningful data augmentation
In this study, an effective approach of spectral images based on environmental sound
classification using Convolutional Neural Networks (CNN) with meaningful data …
classification using Convolutional Neural Networks (CNN) with meaningful data …
Environmental sound classification using a regularized deep convolutional neural network with data augmentation
The adoption of the environmental sound classification (ESC) tasks increases very rapidly
over recent years due to its broad range of applications in our daily routine life. ESC is also …
over recent years due to its broad range of applications in our daily routine life. ESC is also …
Multi-accdoa: Localizing and detecting overlap** sounds from the same class with auxiliary duplicating permutation invariant training
Sound event localization and detection (SELD) involves identifying the direction-of-arrival
(DOA) and the event class. The SELD methods with a class-wise output format make the …
(DOA) and the event class. The SELD methods with a class-wise output format make the …
CNN hyper-parameter optimization for environmental sound classification
Environmental sounds are being used widely in our lives. It is especially used in tasks such
as managing smart cities, location determination, surveillance systems, machine hearing …
as managing smart cities, location determination, surveillance systems, machine hearing …
Audio surveillance of roads: A system for detecting anomalous sounds
In the last decades, several systems based on video analysis have been proposed for
automatically detecting accidents on roads to ensure a quick intervention of emergency …
automatically detecting accidents on roads to ensure a quick intervention of emergency …
Precise single-stage detector
There are still two problems in SDD causing some inaccurate results:(1) In the process of
feature extraction, with the layer-by-layer acquisition of semantic information, local …
feature extraction, with the layer-by-layer acquisition of semantic information, local …