Cargando…
Robustness of Auditory Teager Energy Cepstrum Coefficients for Classification of Pathological and Normal Voices in Noisy Environments
This paper focuses on a robust feature extraction algorithm for automatic classification of pathological and normal voices in noisy environments. The proposed algorithm is based on human auditory processing and the nonlinear Teager-Kaiser energy operator. The robust features which labeled Teager Ene...
Autores principales: | Salhi, Lotfi, Cherif, Adnane |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3681261/ https://www.ncbi.nlm.nih.gov/pubmed/23818821 http://dx.doi.org/10.1155/2013/435729 |
Ejemplares similares
-
Crack Identification in CFRP Laminated Beams Using Multi-Resolution Modal Teager–Kaiser Energy under Noisy Environments
por: Xu, Wei, et al.
Publicado: (2017) -
Nonlinear Statistical Analysis of Normal and Pathological Infant Cry Signals in Cepstrum Domain by Multifractal Wavelet Leaders
por: Lahmiri, Salim, et al.
Publicado: (2022) -
Dance emotion recognition based on linear predictive Meir frequency cepstrum coefficient and bidirectional long short-term memory from robot environment
por: Shen, Dianhuai, et al.
Publicado: (2022) -
Robust speaker recognition in noisy environments
por: Rao, K Sreenivasa, et al.
Publicado: (2014) -
Assessment of Hypernasality for Children with Cleft Palate Based on Cepstrum Analysis
por: Akafi, Ehsan, et al.
Publicado: (2013)