Automatic Detection of Cry Sounds in Neonatal Intensive Care Units by Using Deep Learning and Acoustic Scene Simulation

Automatic Detection of Cry Sounds in Neonatal Intensive Care Units by Using Deep Learning and Acoustic Scene Simulation

Cry detection is an important facility in both residential and public environments, which can answer to different needs of both private and professional users. In this paper, we investigate the problem of cry detection in professional environments, such as Neonatal Intensive Care Units (NICUs). The...

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Bibliographic Details
Main Authors: Marco Severini, Daniele Ferretti, Emanuele Principi, Stefano Squartini
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Infant cry detection
deep neural networks
neonatal intensive care unit
data augmentation
acoustic scene simulation
computational audio processing
Online Access:https://ieeexplore.ieee.org/document/8691742/

Internet

https://ieeexplore.ieee.org/document/8691742/

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