Voice Disorder Classification Based on Multitaper Mel Frequency Cepstral Coefficients Features

The Mel Frequency Cepstral Coefficients (MFCCs) are widely used in order to extract essential information from a voice signal and became a popular feature extractor used in audio processing. However, MFCC features are usually calculated from a single window (taper) characterized by large variance. T...

Descripción completa

Detalles Bibliográficos
Autores principales: Eskidere, Ömer, Gürhanlı, Ahmet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4670637/
https://www.ncbi.nlm.nih.gov/pubmed/26681977
http://dx.doi.org/10.1155/2015/956249

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4670637/
https://www.ncbi.nlm.nih.gov/pubmed/26681977
http://dx.doi.org/10.1155/2015/956249

Ejemplares similares