Towards an Alternative to Magnetic Resonance Imaging for Vocal Tract Shape Measurement Using the Principles of Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InCollection{Howard:2010:GECma,

• author = "David M. Howard and Andy M. Tyrrell and Crispin Cooper",
• title = "Towards an Alternative to Magnetic Resonance Imaging for Vocal Tract Shape Measurement Using the Principles of Evolution",
• booktitle = "Genetic and Evolutionary Computation: Medical Applications",
• publisher = "John Wiley and Sons, Ltd",
• year = "2010",
• editor = "Stephen L. Smith and Stefano Cagnoni",
• chapter = "6.2",
• pages = "191--207",
• keywords = "genetic algorithms, genetic programming, cartesian genetic programming, towards alternative to magnetic resonance imaging - for vocal tract shape measurement using principles of evolution, electronic voice synthesis - applications, in highly intelligible speech output, physical modelling synthesis techniques - used successfully for electronic music synthesis, fMRI data acquisition - hampered by practical factors, principles of evolution - new computational paradigm, finding oral tract cross-sectional areas, method, calculating shape of oral tract - and extension of linear predictive coding (LPC), recording the target vowels, bio-inspired computing - genetic evolution, as computational tool in application areas, target vowels, for experiments - those uttered with flat intonation contour, physical modelling, using digital waveguide mesh - appropriate engine for technique",
• isbn13 = "9780470748138",
• DOI = "doi:10.1002/9780470973134.ch11",
• abstract = "In this work, a revised form of Implicit Context Representation Cartesian Genetic Programming is used in the development of a diagnostic tool for the assessment of patients with neurological dysfunction such as Alzheimer's disease. Specifically, visuo-spatial ability is assessed by analysing subjects' digitised responses to a simple figure copying task using a conventional test environment. The algorithm was trained to distinguish between classes of visuo-spatial ability based on responses to the figure copying test by 7-11 year old children in which visuo-spatial ability is at varying stages of maturity. Results from receiver operating characteristic (ROC) analysis are presented for the training and subsequent testing of the algorithm and demonstrate this technique has the potential to form the basis of an objective assessment of visuo-spatial ability.",

}

Genetic Programming entries for David M Howard Andrew M Tyrrell Crispin Cooper

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