Automatic Classification of Respiratory Sound Considering Hierarchical Structure

Author:

Tabata Manami1,Lu Huimin1,Kamiya Tohru1,Mabu Shingo2,Kido Shoji3

Affiliation:

1. Kyushu Institute of Technology, 1-1 Sensui, Tobata,Kitakyushu,Fukuoka,Japan,804-8550

2. Yamaguchi University, 2-16-1 Tokiwadai,Ube,Yamaguchi,Japan,755-8611

3. Osaka University, 2-2 Yamadaoka,Suita,Osaka,Japan,565-0871

Publisher

IEEE

Reference13 articles.

1. LightGBM: A Highly Efficient Gradient Boosting Decision Tree;ke;Advances in Neural Information Processing Systems 30 (NIPS 2017),2017

2. Classification of respiratory sounds using improved convolutional recurrent neural network

3. MISNA - A musical instrument segregation system from noisy audio with LPCC-S features and extreme learning

4. Harmonic/Percussive Separation using Median Filtering;fitzgerald;13th International Conference on Digital Audio Effects (DAFx-10),2010

5. Computer-aided diagnosis in medical imaging: Historical review, current status and future potential

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