A CRNN System for Sound Event Detection Based on Gastrointestinal Sound Dataset Collected by Wearable Auscultation Devices

A CRNN System for Sound Event Detection Based on Gastrointestinal Sound Dataset Collected by Wearable Auscultation Devices

In this article, we set up a novel audio dataset named Gastrointestinal (GI) Sound Set which includes 6 kinds of body sounds Bowel sound, Speech, Snore, Cough, Groan, and Rub. We do sound event detection (SED) based on it, and can accurately detect 6 types of sound events. First, the GI Sound Set is...

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Bibliographic Details
Main Authors: Xue Zheng, Chun Zhang, Ping Chen, Kang Zhao, Hanjun Jiang, Zhiwei Jiang, Huafeng Pan, Zhihua Wang, Wen Jia
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Gastrointestinal (GI) sound set
sound event detection(SED)
convolutional recurrent neural network (CRNN)
multiple instance learning(MIL)
Online Access:https://ieeexplore.ieee.org/document/9179762/

Internet

https://ieeexplore.ieee.org/document/9179762/

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