987 resultados para Oral source


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Evolução dos recursos computacionais e impacto das tecnologias open source na Embrapa Monitoramento por Satélite

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Though one is led to believe that program transformation systems which perform source-to-source transformations enable the user to understand and appreciate the resulting source program, this is not always the case. Transformations are capable of behaving and/or interacting in unexpected ways. The user who is interested in understanding the whats, whys, wheres, and hows of the transformation process is left without tools for discovering them. I provide an initial step towards the solution of this problem in the form of an accountable source-to-source transformation system. It carefully records the information necessary to answer such questions, and provides mechanisms for the retrieval of this information. It is observed that though this accountable system allows the user access to relevant facts from which he may draw conclusions, further study is necessary to make the system capable of analyzing these facts itself.

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The application of inverse filtering techniques for high-quality singing voice analysis/synthesis is discussed. In the context of source-filter models, inverse filtering provides a noninvasive method to extract the voice source, and thus to study voice quality. Although this approach is widely used in speech synthesis, this is not the case in singing voice. Several studies have proved that inverse filtering techniques fail in the case of singing voice, the reasons being unclear. In order to shed light on this problem, we will consider here an additional feature of singing voice, not present in speech: the vibrato. Vibrato has been traditionally studied by sinusoidal modeling. As an alternative, we will introduce here a novel noninteractive source filter model that incorporates the mechanisms of vibrato generation. This model will also allow the comparison of the results produced by inverse filtering techniques and by sinusoidal modeling, as they apply to singing voice and not to speech. In this way, the limitations of these conventional techniques, described in previous literature, will be explained. Both synthetic signals and singer recordings are used to validate and compare the techniques presented in the paper.

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A proposta realizada neste traballo fai de altovolante dalgunhas reflexións que creo fundamentais para seguir camiño na investigación da literatura oral. A miña perspectiva é a da antropoloxía sociocultural, pero afecta nun sentido máis amplo ao conxunto das disciplinas sociais e humanísticas que abordan o tema da literatura oral e da oralidade en xeral. É evidente que a literatura aporta datos sobre a organización social, o estilo de vida e a Cultura dunha sociedade no pasado e no presente (1). En particular a literatura oral, é dicir, a que se transmite oralmente aínda que ás veces a encontremos escrita, é un vector privilexiado para captar os imaxinarios colectivos do grupo humano que a crea, os seus valores, as súas moralidades e crenzas. The paper presents some lines of thought considered to be fundamental in the study of oral literature. The perspective followed is one marked by socio/cultural anthropology, but one that is also related to all of those Social Sciences and Humanities that analyse oral traditions. Literature gives us data on social organization, on the life style and culture of a social group, both past and present. Oral literature, in particular, is a extremely suitable vehicle for reaching the collective imaginary of the group that creates it. (1) Fribourg, J.(1995): "Literatura oral y antropología", en Lisón Tolosana, C. (comp.): Antropología y Literatura. Zaragoza: Gobierno de Aragón, p. 37.

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Monografia apresentada à Universidade Fernando Pessoa para obtenção do grau de Licenciada em Medicina Dentária

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Monografia apresentada à Universidade Fernando Pessoa para obtenção do grau de Licenciado em Medicina Dentária

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Projeto de Pós-Graduação/Dissertação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Medicina Dentária