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Environment Sound Classification Using a Two-Stream CNN Based on Decision-Level Fusion

Environment Sound Classification Using a Two-Stream CNN Based on Decision-Level Fusion

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6f2fd2d1b6cd40f88d63f880d482d457

Environment Sound Classification Using a Two-Stream CNN Based on Decision-Level Fusion

About this item

Full title

Environment Sound Classification Using a Two-Stream CNN Based on Decision-Level Fusion

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2019-04, Vol.19 (7), p.1733

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

With the popularity of using deep learning-based models in various categorization problems and their proven robustness compared to conventional methods, a growing number of researchers have exploited such methods in environment sound classification tasks in recent years. However, the performances of existing models use auditory features like log-me...

Alternative Titles

Full title

Environment Sound Classification Using a Two-Stream CNN Based on Decision-Level Fusion

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6f2fd2d1b6cd40f88d63f880d482d457

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6f2fd2d1b6cd40f88d63f880d482d457

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s19071733

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