Acoustic parameter processing for detection of laryngeal pathologies using a Boltzmann machine
This thesis examines the application of a particular neuromorphic computational model, the Boltzmann Machine, to the evaluation of laryngeal behaviour using parameters derived from the acoustic analysis of irregularities in the periodic structures of speech signals. Over the last twenty five years,...
Main Author: | Trehern, Jocelyn Frank |
---|---|
Published: |
University of Edinburgh
1990
|
Subjects: | |
Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.663032 |
Similar Items
-
Cervical pathology and infection in nomadic and non-nomadic women in southern Iran
by: Keshavarz, Homa
Published: (2002) -
Studies in perinatal pathology based on 1,947 consecutive autopsies, 1952-56
by: Bain, A. D.
Published: (1956) -
Extending the graphical representation of four KEGG pathways for a better understanding of prostate cancer using machine learning of graphical models
by: Aloraini, Adel Abdullah M.
Published: (2011) -
Bayesian decision-theoretic methods for parameter ensembles with application to epidemiology
by: Ginestet, Cedric E.
Published: (2011) -
Estimation of disease progression parameters from retrospective or cross-sectional data
by: Harrison, D. A.
Published: (2003)