907 resultados para definitive accent


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Includes index.

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Introduction signed: H. Tatnall Brown, Jr.

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Typescript.

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This paper reports on preliminary findings of a study conducted in the Black Country area of the west midlands of England. The small number of linguistic studies carried out in this region in the last 40 years have not found evidence of the continuing existence of variable rhoticity in the local speech variety. The Survey of English Dialects in the 1950s found low levels of rhoticity among speakers in the location closest to the Black Country, and I examine here similar findings from a detailed study of the variety, carried out between 2003-2006.

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It is well established that accent recognition can be as accurate as up to 95% when the signals are noise-free, using feature extraction techniques such as mel-frequency cepstral coefficients and binary classifiers such as discriminant analysis, support vector machine and k-nearest neighbors. In this paper, we demonstrate that the predictive performance can be reduced by as much as 15% when the signals are noisy. Specifically, in this paper we perturb the signals with different levels of white noise, and as the noise become stronger, the out-of-sample predictive performance deteriorates from 95% to 80%, although the in-sample prediction gives overly-optimistic results. ACM Computing Classification System (1998): C.3, C.5.1, H.1.2, H.2.4., G.3.