Artificial Neural Networks Combined with the Principal Component Analysis for Non-Fluent Speech Recognition

The presented paper introduces principal component analysis application for dimensionality reduction of variables describing speech signal and applicability of obtained results for the disturbed and fluent speech recognition process. A set of fluent speech signals and three speech disturbances—block...

Descripción completa

Detalles Bibliográficos
Autores principales: Świetlicka, Izabela, Kuniszyk-Jóźkowiak, Wiesława, Świetlicki, Michał
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749906/
https://www.ncbi.nlm.nih.gov/pubmed/35009863
http://dx.doi.org/10.3390/s22010321

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749906/
https://www.ncbi.nlm.nih.gov/pubmed/35009863
http://dx.doi.org/10.3390/s22010321

Ejemplares similares