Respiratory Sound Classification Using Long-Short Term Memory
Developing a reliable sound detection and recognition system offers many benefits and has many useful applications in different industries. This paper examines the difficulties that exist when attempting to perform sound classification as it relates to respiratory disease classification. Some method...
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Published in | arXiv.org |
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Main Authors | , , , |
Format | Paper |
Language | English |
Published |
Ithaca
Cornell University Library, arXiv.org
06.08.2020
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Abstract | Developing a reliable sound detection and recognition system offers many benefits and has many useful applications in different industries. This paper examines the difficulties that exist when attempting to perform sound classification as it relates to respiratory disease classification. Some methods which have been employed such as independent component analysis and blind source separation are examined. Finally, an examination on the use of deep learning and long short-term memory networks is performed in order to identify how such a task can be implemented. |
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AbstractList | Developing a reliable sound detection and recognition system offers many benefits and has many useful applications in different industries. This paper examines the difficulties that exist when attempting to perform sound classification as it relates to respiratory disease classification. Some methods which have been employed such as independent component analysis and blind source separation are examined. Finally, an examination on the use of deep learning and long short-term memory networks is performed in order to identify how such a task can be implemented. |
Author | Vincent, Joshua Mohammad-Parsa Hosseini Villanueva, Chelsea Slowinski, Alexander |
Author_xml | – sequence: 1 givenname: Chelsea surname: Villanueva fullname: Villanueva, Chelsea – sequence: 2 givenname: Joshua surname: Vincent fullname: Vincent, Joshua – sequence: 3 givenname: Alexander surname: Slowinski fullname: Slowinski, Alexander – sequence: 4 fullname: Mohammad-Parsa Hosseini |
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Snippet | Developing a reliable sound detection and recognition system offers many benefits and has many useful applications in different industries. This paper examines... |
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SubjectTerms | Classification Independent component analysis Machine learning Respiratory diseases Short term Signal processing Sound |
Title | Respiratory Sound Classification Using Long-Short Term Memory |
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