Convolutional Recurrent Neural Network-Based Event Detection in Tunnels Using Multiple Microphones.

Kim, Nam Kyun; Jeon, Kwang Myung; Kim, Hong Kook

Kim, Nam Kyun; Jeon, Kwang Myung; Kim, Hong Kook.

Afiliação

Kim NK; School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Korea. skarbs001@gist.ac.kr.
Jeon KM; School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Korea. kmjeon@gist.ac.kr.
Kim HK; School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Korea. hongkook@gist.ac.kr.

Sensors (Basel) ; 19(12)2019 Jun 14.

Article em En | MEDLINE | ID: mdl-31208007

Palavras-chave

convolutional recurrent neural network (CRNN); non-negative tensor factorization (NTF); online noise learning; sound event detection (SED); tunnel accident detection

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

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