A review of automatic recognition technology for bird vocalizations in the deep learning era
Birds are considered critical indicators of ecosystem condition. Automatic recording devices
have emerged as a trending tool to assist field observations, contributing to biodiversity …
have emerged as a trending tool to assist field observations, contributing to biodiversity …
[HTML][HTML] Environmental Sound Classification: A descriptive review of the literature
Automatic environmental sound classification (ESC) is one of the upcoming areas of
research as most of the traditional studies are focused on speech and music signals …
research as most of the traditional studies are focused on speech and music signals …
CNN hyper-parameter optimization for environmental sound classification
Ö İnik - Applied Acoustics, 2023 - Elsevier
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 …
A survey on deep learning based forest environment sound classification at the edge
Forest ecosystems are of paramount importance to the sustainable existence of life on earth.
Unique natural and artificial phenomena pose severe threats to the perseverance of such …
Unique natural and artificial phenomena pose severe threats to the perseverance of such …
Acoustic scene classification: a comprehensive survey
Acoustic scene classification (ASC) has gained significant interest recently due to its diverse
applications. Various audio signal processing and machine learning methods have been …
applications. Various audio signal processing and machine learning methods have been …
Forest sound classification dataset: Fsc22
The study of environmental sound classification (ESC) has become popular over the years
due to the intricate nature of environmental sounds and the evolution of deep learning (DL) …
due to the intricate nature of environmental sounds and the evolution of deep learning (DL) …
Divide and distill: new outlooks on knowledge distillation for environmental sound classification
AM Tripathi, OJ Pandey - IEEE/ACM Transactions on Audio …, 2023 - ieeexplore.ieee.org
Environmental sound classification (ESC) is an important research problem with a broad
range of applications including audio-based surveillance, audio-visual systems, smart …
range of applications including audio-based surveillance, audio-visual systems, smart …
Proposing a new approach based on convolutional neural networks and random forest for the diagnosis of Parkinson's disease from speech signals
Parkinson which occurs because of affected motor system by central nervous system is a
neurodegenerative disease which is often seen in community. This disease, which is …
neurodegenerative disease which is often seen in community. This disease, which is …
Data augmentation guided knowledge distillation for environmental sound classification
AM Tripathi, K Paul - Neurocomputing, 2022 - Elsevier
Environmental sound classification (ESC) is an increasingly relevant field of research in
recent years but has high computational overhead in its classification of environmental …
recent years but has high computational overhead in its classification of environmental …
SSDPT: Self-supervised dual-path transformer for anomalous sound detection
Anomalous sound detection for machine condition monitoring or structural health monitoring
is essential in the development of Industry 4.0. However, the anomalous sounds of …
is essential in the development of Industry 4.0. However, the anomalous sounds of …