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Published in 2020 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2020.107389
Abstract: Abstract 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 known as Sound Event…
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Keywords:
sound classification;
classification;
deep convolutional;
convolutional neural ... See more keywords
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Published in 2020 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2020.107508
Abstract: Abstract One of the crucial problems of the signal processing, digital forensics and machine learning is the environmental sound classification (ESC). Several ESC methods have been presented to obtain highly accurate model. In this work,…
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Keywords:
sound classification;
classification;
pattern pooling;
environmental sound ... See more keywords
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Published in 2020 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2020.107520
Abstract: Abstract Recently, there has been an incremental interest on Environmental Sound Classification (ESC), which is an important topic of the non-speech audio classification task. A novel approach, which is based on deep Convolutional Neural Networks…
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Keywords:
sound classification;
classification;
feature;
environmental sound ... See more keywords
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Published in 2021 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2020.107570
Abstract: Abstract A public urban space is undoubtedly one of the key elements in urban planning. It allows citizens with different backgrounds to freely accesses for various healthy, social, or individual reasons. User experience of the…
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Keywords:
soundscape;
preference;
public urban;
environmental sound ... See more keywords
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Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.08.069
Abstract: Abstract Environmental sound classification (ESC) is a challenging problem due to the complexity of sounds. The classification performance is heavily dependent on the effectiveness of representative features extracted from the environmental sounds. However, ESC often…
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Keywords:
sound classification;
classification;
network;
convolutional recurrent ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2984903
Abstract: Cognitive prediction in the complicated and active environments is of great importance role in artificial learning. Classification accuracy of sound events has a robust relation with the feature extraction. In this paper, deep features are…
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Keywords:
environmental sound;
classification;
cnn model;
sound classification ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2022.3232807
Abstract: Environmental Sound Classification (ESC) is an important field in a broad range of applications, such as smart cities, audio surveillance, and health care. Recently, Convolutional Neural Networks (CNNs) have taken the lead from traditional approaches…
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Keywords:
environmental sound;
classification;
convolutional neural;
sound classification ... See more keywords
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Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3130502
Abstract: For environmental sound classification, CNNs have become the most successful architecture. By regarding the CNN features as a collection of nodes arranged on a 2D time-frequency grid, typical CNN layers process nodes within a limited…
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Keywords:
classification;
environmental sound;
inter node;
node relations ... See more keywords
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Published in 2023 at "Symmetry"
DOI: 10.3390/sym15051045
Abstract: Environmental sound classification (ESC) tasks are attracting more and more attention. Due to the complexity of the scene and personnel mobility, there are some difficulties in understanding and generating environmental sound models for ESC tasks.…
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Keywords:
environmental sound;
spectrogram;
classification;
model ... See more keywords