95 resultados para Corpus du Portugais archaïque


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A description, and analysis, of an empirical investigation of the effectiveness of affirmative action in the Northern Ireland employment

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We have recorded a new corpus of emotionally coloured conversations. Users were recorded while holding conversations with an operator who adopts in sequence four roles designed to evoke emotional reactions. The operator and the user are seated in separate rooms; they see each other through teleprompter screens, and hear each other through speakers. To allow high quality recording, they are recorded by five high-resolution, high framerate cameras, and by four microphones. All sensor information is recorded synchronously, with an accuracy of 25 μs. In total, we have recorded 20 participants, for a total of 100 character conversational and 50 non-conversational recordings of approximately 5 minutes each. All recorded conversations have been fully transcribed and annotated for five affective dimensions and partially annotated for 27 other dimensions. The corpus has been made available to the scientific community through a web-accessible database.

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This paper presents a new approach to single-channel speech enhancement involving both noise and channel distortion (i.e., convolutional noise). The approach is based on finding longest matching segments (LMS) from a corpus of clean, wideband speech. The approach adds three novel developments to our previous LMS research. First, we address the problem of channel distortion as well as additive noise. Second, we present an improved method for modeling noise. Third, we present an iterative algorithm for improved speech estimates. In experiments using speech recognition as a test with the Aurora 4 database, the use of our enhancement approach as a preprocessor for feature extraction significantly improved the performance of a baseline recognition system. In another comparison against conventional enhancement algorithms, both the PESQ and the segmental SNR ratings of the LMS algorithm were superior to the other methods for noisy speech enhancement. Index Terms: corpus-based speech model, longest matching segment, speech enhancement, speech recognition

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Taking as its case study Anne Cuneo’s autopathography, Une cuillerée de bleu (1979), and supported by a phenomenological reading of the subjective realities of illness, including feelings of alienation, fragmentation, and passivity, this article considers how the experience of cancer affects the patient’s perception of her body, self, and world.

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In recent years, the proliferation of discoveries has enabled studies of stone tools used in metal working to develop. The increasing number of tools, made mostly from Neolithic polished axes, reveals a typological and functional diversity that remained largely unsuspected. This diversity is an opportunity to understand the tools and address the technical issues relating to the plastic deformation of metals. The operations that are represented here demonstrate the techniques used by coppersmiths with specialised tools.

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Higham et al (2010) published a large series of new dates from the key French Palaeolithic site of the Grotte du Renne at Arcy-sur-Cure. The site is important because it is one of only two sites in Europe in which Châtelperronian lithic remains co-occur with Neanderthal human remains. A large series of dates from the Mousterian, Châtelperronian, Aurignacian and Gravettian levels of the site was obtained. The 14C results showed great variability, which Higham et al (2010) interpreted as most likely to be due to mixing of archaeological material in the site. In contrast, Caron et al (2011) suggested that the site stratigraphy is well preserved and that the problem with the variability in the radiocarbon ages was due to unremoved contamination in the dated bone. In this paper we address their critique of the original Higham et al (2010) paper

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Book review of L'Évangélisation du Rwanda (1900–1959). By Fortunatus Rudakemwa. (Études Africaines.) Pp. 388 incl. 9 figs. Paris: L'Harmattan, 2005. €31.50 (paper). 2 7475 9741 5; 978 2 7475 9741 8.