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 …
Sound classification and processing of urban environments: A systematic literature review
AFR Nogueira, HS Oliveira, JJM Machado… - Sensors, 2022 - mdpi.com
Audio recognition can be used in smart cities for security, surveillance, manufacturing,
autonomous vehicles, and noise mitigation, just to name a few. However, urban sounds are …
autonomous vehicles, and noise mitigation, just to name a few. However, urban sounds are …
Robustness of musical features on deep learning models for music genre classification
Music information retrieval (MIR) has witnessed rapid advances in various tasks like musical
similarity, music genre classification (MGC), etc. MGC and audio tagging are approached …
similarity, music genre classification (MGC), etc. MGC and audio tagging are approached …
Artificial intelligence framework for heart disease classification from audio signals
As cardiovascular disorders are prevalent, there is a growing demand for reliable and
precise diagnostic methods within this domain. Audio signal-based heart disease detection …
precise diagnostic methods within this domain. Audio signal-based heart disease detection …
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) …
Self-supervised learning for environmental sound classification
AM Tripathi, A Mishra - Applied Acoustics, 2021 - Elsevier
Abstract Environmental Sound Classification (ESC) is one of the most challenging tasks in
signal processing, digital forensic and machine learning. Numerous methods have been …
signal processing, digital forensic and machine learning. Numerous methods have been …
Spectral image-based multiday surface electromyography classification of hand motions using CNN for human–computer interaction
Physiological signals such as electromyography (EMG) have been used in human–
computer interaction (HCI) for medical applications. Wearable prostheses, such as robotic …
computer interaction (HCI) for medical applications. Wearable prostheses, such as robotic …
Investigation of the effectiveness of time-frequency domain images and acoustic features in urban sound classification
T Özseven - Applied Acoustics, 2023 - Elsevier
Rapid urbanization and population growth worldwide seriously challenge building livable
and sustainable cities. This increase causes the increase and diversification of urban …
and sustainable cities. This increase causes the increase and diversification of urban …
Classification of complicated urban forest acoustic scenes with deep learning models
C Zhang, H Zhan, Z Hao, X Gao - Forests, 2023 - mdpi.com
The use of passive acoustic monitoring (PAM) can compensate for the shortcomings of
traditional survey methods on spatial and temporal scales and achieve all-weather and wide …
traditional survey methods on spatial and temporal scales and achieve all-weather and wide …
Spectrogram-based classification on vehicles with modified loud exhausts via convolutional neural networks
KW Cheng, HM Chow, SY Li, TW Tsang, HLB Ng… - Applied Acoustics, 2023 - Elsevier
Hong Kong is one of the densest cities in the world with busy roads close to residential
areas. Excessive noise emitted by vehicles with modified loud exhausts causes further noise …
areas. Excessive noise emitted by vehicles with modified loud exhausts causes further noise …