Densely Connected Networks with Multiple Features for Classifying Sound Signals with Reverberation
Densely Connected Networks with Multiple Features for Classifying Sound Signals with Reverberation
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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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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...
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Full title
Densely Connected Networks with Multiple Features for Classifying Sound Signals with Reverberation
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Author / Creator
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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