FRANÇAIS
A showcase of ÉTS researchers’ publications and other contributions
SEARCH

A fully automated approach for baby cry signal segmentation and boundary detection of expiratory and inspiratory episodes

Abou-Abbas, Lina, Tadj, Chakib et Fersaie, Hesam Alaie. 2017. « A fully automated approach for baby cry signal segmentation and boundary detection of expiratory and inspiratory episodes ». Journal of the Acoustical Society of America, vol. 142, nº 3. pp. 1318-1331.
Compte des citations dans Scopus : 9.

The full text of this document is not available here.
Rechercher dans Google Scholar
Item Type: Peer reviewed article published in a journal
Professor:
Professor
Tadj, Chakib
Affiliation: Génie électrique
Date Deposited: 03 Nov 2017 20:14
Last Modified: 03 Nov 2017 20:14
URI: https://espace2.etsmtl.ca/id/eprint/15826

Actions (login required)

View Item View Item