Densely Connected Networks with Multiple Features for Classifying Sound Signals with Reverberation
Densely Connected Networks with Multiple Features for Classifying Sound Signals with Reverberation
About this item
Full title
Author / Creator
Chen, Zhuo , Gao, Dazhi , Sun, Kai , Zhao, Xiaojing , Yu, Yueqi and Wang, Zhennan
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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More information
Scope and Contents
Contents
In indoor environments, reverberation can distort the signalseceived by active noise cancelation devices, posing a challenge to sound classification. Therefore, we combined three speech spectral features based on different frequency scales into a densely connected network (DenseNet) to accomplish sound classification with reverberation effects. We...
Alternative Titles
Full title
Densely Connected Networks with Multiple Features for Classifying Sound Signals with Reverberation
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_8a5163d793a34ab3b9f68d55471ad0a4
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8a5163d793a34ab3b9f68d55471ad0a4
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s23167225
