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

Autor
Raboshchuk, G.; Nadeu, C.; Vidiella, S.; Ros, O.; Muñoz, B.; Riverola , A.
Tipus d'activitat
Article en revista
Revista
Biomedical signal processing and control
Data de publicació
2018-01-01
Volum
39
Pàgina inicial
390
Pàgina final
395
DOI
https://doi.org/10.1016/j.bspc.2017.07.024 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/107932 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S1746809417301568?via%3Dihub Obrir en finestra nova
Resum
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...
Paraules clau
Neonatal Intensive Care Unit, Noise Reduction, Non-negative Matrix Factorization, Spectral Subtraction, Vocalization Detection
Grup de recerca
TALP - Centre de Tecnologies i Aplicacions del Llenguatge i la Parla
VEU - Grup de Tractament de la Parla

Participants

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