Frank Fallside

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An analysis is made of the behavior of the Hopfield model as a content-addressable memory (CAM) and as a method of solving the traveling salesman problem (TSP). The analysis is based on the geometry of the subspace set up by the degenerate eigenvalues of the connection matrix. The dynamic equation is shown to be equivalent to a projection of the input(More)
I Recent studies have shown that non-linear prediction can be implemented with neural networks, and non-linear predictors will on average achieve about 2 3 improvement in prediction gain over conventional linear predictors. In this paper, we take the advantage of non-linear prediction with neural network, apply it to predictive speech coding and attempt to(More)
This paper describes the research underway for the ESPRIT WERNICKE project. The project brings together a number of different groups from Europe and the US and focuses on extending the state-of-the-art for hybrid hidden Markov model/connectionist approaches to large vocabulary, continuous speech recognition. This paper describes the specific goals of the(More)
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A study comparing perceptual judgments of vowels produced by deaf children taught to speak by using a computer-based aid (experimental group, E) and by conventional techniques (control group, C) revealed feedback-related differences. These concerned the ability to reorganise articulatory performance, intelligibility of vowels after training, and the(More)
Recent years have seen an upsurge of interest in computer handwriting recognition as a means of making computers accessible to a wider range of people. A complete system for off-line, automatic recognition of handwriting is described, which takes word images scanned from a handwritten page and produces word-level output. Normalisation and preprocessing(More)