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Titlebook: Computational Processing of the Portuguese Language; 6th International Wo Nuno J. Mamede,Isabel Trancoso,Maria Graças Volpe Conference pro

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Devoicing Measures of European Portuguese Fricativestegories. The results of the automatic and manual measures of devoicing are compared, and an explanation for observed misclassifications is presented. Devoicing occurs extensively in Portuguese; results are compared to those for English.
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A Study on the Reliability of Two Discourse Segmentation Modelsucturing discourse in European Portuguese. We compared the models of (.) and (.) using spontaneous speech. The latter displayed a higher level of consensus among coders. We also observed that listening to the original speech influenced the level of agreement among coders.
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Nari Sivanandam Arunraj,Diane Ahrenspeech spectrum. This algorithm was implemented over a baseline spectral normalisation method, which purpose is to emphasize the robustness in the regions of less energy of the speech spectrum, since in these regions the noise is more dominant.
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https://doi.org/10.1007/978-3-8349-3928-9acoustic features used in this procedure, it can perform poorly when applied to continuous speech utterances. In this paper we propose a new method to select the best features to use in the alignment procedure for each pair of phonetic segment classes. The results show that this selection considerably reduces the segment boundary location errors.
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https://doi.org/10.1007/978-3-658-42635-4elines, comments on the dictionary entries, addresses selected problems found in the process of extracting the relevant lexical information form the selected dictionaries, and provides some strategies to overcome them.
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