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Jul 19, 2020 · In this paper, we address the problem of the concurrent detection of multiple infant cries by using microphones located in the cribs of a ...
A convolutional neural network is used to determine if the input spectrum represents a baby's cry. A baby's cry is ultimately divided into four categories ( ...
Who Cried When: Infant Cry Diarization with Dilated Fully-Convolutional Neural Networks · M. Severini, E. Principi, +2 authors. S. Squartini · Published in IEEE ...
The aim of our work is to propose a cry detection method based on deep neural networks (DNNs) and also to evaluate whether a properly designed synthetic dataset ...
Who Cried When: Infant Cry Diarization with Dilated Fully-Convolutional Neural Networks. M. Severini, E. Principi, Samuele Cornell, L. Gabrielli, S ...
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Who Cried When: Infant Cry Diarization with Dilated Fully-Convolutional Neural Networks · M. SeveriniE. PrincipiSamuele CornellL. GabrielliS. Squartini.
Who Cried When: Infant Cry Diarization with Dilated Fully-Convolutional Neural Networks. Conference Paper. Jul 2020. Marco Severini ...
Who Cried When: Infant Cry Diarization with Dilated Fully-Convolutional Neural Networks. 2020, Proceedings of the International Joint Conference on Neural ...
Who Cried When: Infant Cry Diarization with Dilated Fully-Convolutional Neural Networks. from www.academia.edu
Who Cried When: Infant Cry Diarization with Dilated Fully-Convolutional Neural Networks · Emanuele Principi. 2020. downloadDownload free PDF View PDF ...
Who Cried When: Infant Cry Diarization with Dilated Fully-Convolutional Neural Networks. M. Severini, E. Principi, Samuele Cornell, L. Gabrielli, S ...