Cargando…
A fully automated approach for baby cry signal segmentation and boundary detection of expiratory and inspiratory episodes
The detection of cry sounds is generally an important pre-processing step for various applications involving cry analysis such as diagnostic systems, electronic monitoring systems, emotion detection, and robotics for baby caregivers. Given its complexity, an automatic cry segmentation system is a ra...
Autores principales: | Abou-Abbas, Lina, Tadj, Chakib, Fersaie, Hesam Alaie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Acoustical Society of America
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5593797/ https://www.ncbi.nlm.nih.gov/pubmed/28964073 http://dx.doi.org/10.1121/1.5001491 |
Ejemplares similares
-
Expiratory and Inspiratory Cries Detection Using Different Signals' Decomposition Techniques
por: Abou-Abbas, Lina, et al.
Publicado: (2017) -
Cry-based infant pathology classification using GMMs
por: Farsaie Alaie, Hesam, et al.
Publicado: (2016) -
Adaptive Bayesian Learning and Forecasting of Epidemic Evolution—Data Analysis of the COVID-19 Outbreak
Publicado: (2020) -
Identification of Diseases in Newborns Using Advanced Acoustic Features of Cry Signals
por: Kheddache, Yasmina, et al.
Publicado: (2019) -
A Novel Adaptive Deformable Model for Automated Optic Disc and Cup Segmentation to Aid Glaucoma Diagnosis
por: Haleem, Muhammad Salman, et al.
Publicado: (2017)