Acoustic scene classification: an overview of DCASE 2017 challenge entries
We present an overview of the challenge entries for the Acoustic Scene Classification task of
DCASE 2017 Challenge. Being the most popular task of the challenge, acoustic scene …
DCASE 2017 Challenge. Being the most popular task of the challenge, acoustic scene …
A multi-device dataset for urban acoustic scene classification
This paper introduces the acoustic scene classification task of DCASE 2018 Challenge and
the TUT Urban Acoustic Scenes 2018 dataset provided for the task, and evaluates the …
the TUT Urban Acoustic Scenes 2018 dataset provided for the task, and evaluates the …
End-to-end convolutional neural network model for gear fault diagnosis based on sound signals
Currently gear fault diagnosis is mainly based on vibration signals with a few studies on
acoustic signal analysis. However, vibration signal acquisition is limited by its contact …
acoustic signal analysis. However, vibration signal acquisition is limited by its contact …
Interactive deep learning for shelf life prediction of muskmelons based on an active learning approach
D Albert-Weiss, A Osman - Sensors, 2022 - mdpi.com
A pivotal topic in agriculture and food monitoring is the assessment of the quality and
ripeness of agricultural products by using non-destructive testing techniques. Acoustic …
ripeness of agricultural products by using non-destructive testing techniques. Acoustic …
An intelligent system for grinding wheel condition monitoring based on machining sound and deep learning
Immediate monitoring of the conditions of the grinding wheel during the grinding process is
important because it directly affects the surface accuracy of the workpiece. Because the …
important because it directly affects the surface accuracy of the workpiece. Because the …
Human activity classification based on sound recognition and residual convolutional neural network
M Jung, S Chi - Automation in Construction, 2020 - Elsevier
Human activity recognition is crucial for a better understanding of workers in construction
sites and people in the built environment. Previous studies have been proposed various …
sites and people in the built environment. Previous studies have been proposed various …
Acoustic scene classification with squeeze-excitation residual networks
J Naranjo-Alcazar, S Perez-Castanos… - IEEE …, 2020 - ieeexplore.ieee.org
Acoustic scene classification (ASC) is a problem related to the field of machine listening
whose objective is to classify/tag an audio clip in a predefined label describing a scene …
whose objective is to classify/tag an audio clip in a predefined label describing a scene …
CAA-Net: Conditional atrous CNNs with attention for explainable device-robust acoustic scene classification
Acoustic Scene Classification (ASC) aims to classify the environment in which the audio
signals are recorded. Recently, Convolutional Neural Networks (CNNs) have been …
signals are recorded. Recently, Convolutional Neural Networks (CNNs) have been …
Acoustic scene classification using deep CNN with fine-resolution feature
T Zhang, J Liang, B Ding - Expert Systems with Applications, 2020 - Elsevier
Convolutional neural networks with spectrogram feature representation for acoustic scene
classification are attracting more and more attentions due to its favorable performance …
classification are attracting more and more attentions due to its favorable performance …
[HTML][HTML] Cavitation detection in hydraulic machinery by analyzing acoustic emissions under strong domain shifts using neural networks
O Kirschner, S Riedelbauch - Physics of Fluids, 2023 - pubs.aip.org
We propose a novel, general-purpose framework for cavitation detection in a wide variety of
hydraulic machineries by analyzing their acoustic emissions with convolutional neural …
hydraulic machineries by analyzing their acoustic emissions with convolutional neural …