Computing nasalance with MFCCs and Convolutional Neural Networks.

Computing nasalance with MFCCs and Convolutional Neural Networks.

Nasalance is a valuable clinical biomarker for hypernasality. It is computed as the ratio of acoustic energy emitted through the nose to the total energy emitted through the mouth and nose (eNasalance). A new approach is proposed to compute nasalance using Convolutional Neural Networks (CNNs) traine...

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Bibliographic Details
Main Authors:	Andrés Lozano, Enrique Nava, María Dolores García Méndez, Ignacio Moreno-Torres
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2024-01-01
Series:	PLoS ONE
Online Access:	https://doi.org/10.1371/journal.pone.0315452
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