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Pre-processing techniques for improved detection of vocalization sounds in a neonatal intensive care unit

Author
Raboshchuk, G.; Nadeu, C.; Vidiella, S.; Ros, O.; Muñoz, B.; Riverola , A.
Type of activity
Journal article
Journal
Biomedical signal processing and control
Date of publication
2018-01-01
Volume
39
First page
390
Last page
395
DOI
https://doi.org/10.1016/j.bspc.2017.07.024 Open in new window
Repository
http://hdl.handle.net/2117/107932 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S1746809417301568?via%3Dihub Open in new window
Abstract
The sounds occurring in the noisy acoustical environment of a Neonatal Intensive Care Unit (NICU) are thought to affect the growth and neurodevelopment of preterm infants. Automatic sound detection in a NICU is a novel and challenging problem, and it is an essential step in the investigation of how preterm infants react to auditory stimuli of the NICU environment. In this paper, we present our work on an automatic system for detection of vocalization sounds, which are extensively present in NICU...
Citation
Raboshchuk, G., Nadeu, C., Vidiella, S., Ros, O., Muñoz, B., Riverola , A. Pre-processing techniques for improved detection of vocalization sounds in a neonatal intensive care unit. "Biomedical signal processing and control", 1 Gener 2018, vol. 39, p. 390-395.
Keywords
Neonatal intensive care unit, Noise reduction, Non-negative matrix factorization, Spectral subtraction, Vocalization detection
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
TALP - Centre for Language and Speech Technologies and Applications
VEU - Speech Processing Group

Participants

  • Raboshchuk, Ganna  (author)
  • Nadeu Camprubí, Climent  (author)
  • Vidiella Pinto, Sergio  (author)
  • Ros Fornells, Oriol  (author)
  • Muñoz Mahamud, Blanca  (author)
  • Riverola de Veciana, Ana  (author)