Infant Cry Detection in Adverse Acoustic Environments by Using Deep Neural Networks

Published: Sep 1, 2018
Abstract
The amount of time an infant cries in a day helps the medical staff in the evaluation of his/her health conditions. Extracting this information requires a cry detection algorithm able to operate in environments with challenging acoustic conditions, since multiple noise sources, such as interferent cries, medical equipments, and persons may be present. This paper proposes an algorithm for detecting infant cries in such environments. The proposed...
Paper Details
Title
Infant Cry Detection in Adverse Acoustic Environments by Using Deep Neural Networks
Published Date
Sep 1, 2018
Journal
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