18 resultados para Voice preservation

em Universidad Politécnica de Madrid


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The Self-OrganizingMap (SOM) is a neural network model that performs an ordered projection of a high dimensional input space in a low-dimensional topological structure. The process in which such mapping is formed is defined by the SOM algorithm, which is a competitive, unsupervised and nonparametric method, since it does not make any assumption about the input data distribution. The feature maps provided by this algorithm have been successfully applied for vector quantization, clustering and high dimensional data visualization processes. However, the initialization of the network topology and the selection of the SOM training parameters are two difficult tasks caused by the unknown distribution of the input signals. A misconfiguration of these parameters can generate a feature map of low-quality, so it is necessary to have some measure of the degree of adaptation of the SOM network to the input data model. The topologypreservation is the most common concept used to implement this measure. Several qualitative and quantitative methods have been proposed for measuring the degree of SOM topologypreservation, particularly using Kohonen's model. In this work, two methods for measuring the topologypreservation of the Growing Cell Structures (GCSs) model are proposed: the topographic function and the topology preserving map

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Inoculum sources and Preservation in Soils of Phytophthora parasitica from Cherry Tomato in Continental Crop Areas in Southeast Spain

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Voice biometry is classically based on the parameterization and patterning of speech features mainly. The present approach is based on the characterization of phonation features instead (glottal features). The intention is to reduce intra-speaker variability due to the `text'. Through the study of larynx biomechanics it may be seen that the glottal correlates constitute a family of 2-nd order gaussian wavelets. The methodology relies in the extraction of glottal correlates (the glottal source) which are parameterized using wavelet techniques. Classification and pattern matching was carried out using Gaussian Mixture Models. Data of speakers from a balanced database and NIST SRE HASR2 were used in verification experiments. Preliminary results are given and discussed.

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The dramatic impact of neurological degenerative pathologies in life quality is a growing concern. It is well known that many neurological diseases leave a fingerprint in voice and speech production. Many techniques have been designed for the detection, diagnose and monitoring the neurological disease. Most of them are costly or difficult to extend to primary attention medical services. Through the present paper it will be shown how some neurological diseases can be traced at the level of phonation. The detection procedure would be based on a simple voice test. The availability of advanced tools and methodologies to monitor the organic pathology of voice would facilitate the implantation of these tests. The paper hypothesizes that some of the underlying mechanisms affecting the production of voice produce measurable correlates in vocal fold biomechanics. A general description of the methodological foundations for the voice analysis system which can estimate correlates to the neurological disease is shown. Some study cases will be presented to illustrate the possibilities of the methodology to monitor neurological diseases by voice

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This paper performs a further generalization of the notion of independence in constraint logic programs to the context of constraint logic programs with dynamic scheduling. The complexity of this new environment made necessary to first formally define the relationship between independence and search space preservation in the context of CLP languages. In particular, we show that search space preservation is, in the context of CLP languages, not only a sufficient but also a necessary condition for ensuring that both the intended solutions and the number of transitions performed do not change. These results are then extended to dynamically scheduled languages and used as the basis for the extension of the concepts of independence. We also propose several a priori sufficient conditions for independence and also give correctness and efficiency results for parallel execution of constraint logic programs based on the proposed notions of independence.

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The employment of nonlinear analysis techniques for automatic voice pathology detection systems has gained popularity due to the ability of such techniques for dealing with the underlying nonlinear phenomena. On this respect, characterization using nonlinear analysis typically employs the classical Correlation Dimension and the largest Lyapunov Exponent, as well as some regularity quantifiers computing the system predictability. Mostly, regularity features highly depend on a correct choosing of some parameters. One of those, the delay time �, is usually fixed to be 1. Nonetheless, it has been stated that a unity � can not avoid linear correlation of the time series and hence, may not correctly capture system nonlinearities. Therefore, present work studies the influence of the � parameter on the estimation of regularity features. Three � estimations are considered: the baseline value 1; a � based on the Average Automutual Information criterion; and � chosen from the embedding window. Testing results obtained for pathological voice suggest that an improved accuracy might be obtained by using a � value different from 1, as it accounts for the underlying nonlinearities of the voice signal.

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Current text-to-speech systems are developed using studio-recorded speech in a neutral style or based on acted emotions. However, the proliferation of media sharing sites would allow developing a new generation of speech-based systems which could cope with spontaneous and styled speech. This paper proposes an architecture to deal with realistic recordings and carries out some experiments on unsupervised speaker diarization. In order to maximize the speaker purity of the clusters while keeping a high speaker coverage, the paper evaluates the F-measure of a diarization module, achieving high scores (>85%) especially when the clusters are longer than 30 seconds, even for the more spontaneous and expressive styles (such as talk shows or sports).

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New digital artifacts are emerging in data-intensive science. For example, scientific workflows are executable descriptions of scientific procedures that define the sequence of computational steps in an automated data analysis, supporting reproducible research and the sharing and replication of best-practice and know-how through reuse. Workflows are specified at design time and interpreted through their execution in a variety of situations, environments, and domains. Hence it is essential to preserve both their static and dynamic aspects, along with the research context in which they are used. To achieve this, we propose the use of multidimensional digital objects (Research Objects) that aggregate the resources used and/or produced in scientific investigations, including workflow models, provenance of their executions, and links to the relevant associated resources, along with the provision of technological support for their preservation and efficient retrieval and reuse. In this direction, we specified a software architecture for the design and implementation of a Research Object preservation system, and realized this architecture with a set of services and clients, drawing together practices in digital libraries, preservation systems, workflow management, social networking and Semantic Web technologies. In this paper, we describe the backbone system of this realization, a digital library system built on top of dLibra.

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Preservación Vegetal en el yacimiento Lo Hueco (Cuenca, España)

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Teaching the adequate use of the singing voice conveys a lot of knowledge in musical performance as well as in objective estimation techniques involving the use of air, muscles, room and body acoustics, and the tuning of a fine instrument as the human voice. Although subjective evaluation and training is a very delicate task to be carried out only by expert singers, biomedical engineering may help contributing with well-funded methodologies developed for the study of voice pathology. The present work is a preliminary study of exploratory character describing the performance of a student singer in a regular classroom under the point of view of vocal fold biomechanics. Estimates of biomechanical parameters obtained from singing voice are given and their potential use is discussed.

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A case study of vocal fold paralysis treatment is described with the help of the voice quality analysis application BioMet®Phon. The case corresponds to a description of a 40 - year old female patient who was diagnosed of vocal fold paralysis following a cardio - pulmonar intervention which required intubation for 8 days and posterior tracheotomy for 15 days. The patient presented breathy and asthenic phon ation, and dysphagia. Six main examinations were conducted during a full year period that the treatment lasted consisting in periodic reviews including video - endostroboscopy, voice analysis and breathing function monitoring. The phoniatrician treatment inc luded 20 sessions of vocal rehabilitation, followed by an intracordal infiltration with Radiesse 8 months after the rehabilitation treatment started followed by 6 sessions of rehabilitation more. The videondoscopy and the voicing quality analysis refer a s ubstantial improvement in the vocal function with recovery in all the measures estimated (jitter, shimmer, mucosal wave contents, glottal closure, harmonic contents and biomechanical function analysis). The paper refers the procedure followed and the results obtained by comparing the longitudinal progression of the treatment, illustrating the utility of voice quality analysis tools in speech therapy.

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Teaching the adequate use of the singing voice conveys a lot of knowledge in musical performance as well as in objective estimation techniques involving the use of air, muscles, room and body acoustics, and the tuning of a fine instrument as the human voice. Although subjective evaluation and training is a very delicate task to be carried out only by expert singers, biomedical engineering may help contributing with well - funded methodologies developed for the study of voice pathology. The present study is a preliminary study of exploratory character describing the performance of a student singer in a regular classroom under the point of view of vocal fold biomechanics. Estimate s of biomechanical parameters obtained from singing voice are given and their use i n the classroom is discussed.

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Voice therapies of muscle tension dysphonia in Germany need to be increased in effectiveness by applying intensive, manualized procedures and standardized assessment protocols. The same holds true for therapies of disturbed singer's voices. According to a Cochrane review on the effectiveness of therapies of functional dysphonia neither direct nor indirect voice therapies alone but combinations of both elements are effective (Ruotsalainen et al., 2007).

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Empirical Software Engineering (ESE) replication researchers need to store and manipulate experimental data for several purposes, in particular analysis and reporting. Current research needs call for sharing and preservation of experimental data as well. In a previous work, we analyzed Replication Data Management (RDM) needs. A novel concept, called Experimental Ecosystem, was proposed to solve current deficiencies in RDMapproaches. The empirical ecosystem provides replication researchers with a common framework that integrates transparently local heterogeneous data sources. A typical situation where the Empirical Ecosystem is applicable, is when several members of a research group, or several research groups collaborating together, need to share and access each other experimental results. However, to be able to apply the Empirical Ecosystem concept and deliver all promised benefits, it is necessary to analyze the software architectures and tools that can properly support it.

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Los sistemas agroforestales mediterráneos tienen una gran importancia ecológica y socioeconómica, y mantienen altos valores medioambientales y de diversidad biológica a la vez que producen importantes servicios ecosistémicos. Estos sistemas han sido testigos de diversos cambios rápidos y drásticos en su gestión y aprovechamiento durante el último siglo. La mayor parte de la investigación desarrollada en esta tesis doctoral ha sido llevada a cabo en las dehesas españolas. Esta tesis nos muestra: i) la evidencia de la existencia de un cambio global del estrato arbóreo y del manejo del pastoreo en el todo el área de distribución de la dehesa durante los últimos 60 años; ii) la importancia del papel que juega el arbolado disperso y el adecuado manejo del ganado en la mejora de la producción, calidad y diversidad de las comunidades herbáceas, que a su vez, un pasto herbáceo bien desarrollado es importante para la rentabilidad del sistema, evaluando estos efectos bajo distintos escenarios de clima y calidad de estación; y iii) la evidencia de la falta de regeneración en sistemas agroforestales mediterráneos bajo distintos tipos de manejo del pastoreo, y además se evalúa el crecimiento y desarrollo de las pocas plántulas existentes que serán las que aseguren la viabilidad y persistencia y de estos sistemas. El arbolado disperso de estos sistemas ha experimentado una reducción importante en su densidad arbórea y fracción de cabida cubierta durante el periodo entre 1950-1980 donde tuvieron lugar importantes transformaciones en la actividad agropecuaria. La cabaña ganadera de ovino disminuyó drásticamente en los años 70 en comparación a la de bovino que desde entonces ha aumentado progresivamente hasta la actualidad. Por otro lado, el mismo tipo de manejo del ganado doméstico (especialmente bovino) durante bastante tiempo (mínimo 30 años) provocó una reducción significativa de la densidad de las plántulas. Además la probabilidad de ocurrencia y la intensidad de daños por herbivoría fue mayor bajo pastoreo bovino (con daños más intensos y consistentes) que bajo pastoreo ovino o sin pastoreo doméstico (presencia de ciervos). También el patrón de crecimiento de las plantas jóvenes estuvo afectado por el tipo de manejo, generando plántulas achaparradas en el caso del bovino y plántulas esbeltas favoreciendo el crecimiento en altura en el caso del ovino. La presencia de un arbolado disperso generó una mayor diversidad y variación en la producción de las comunidades herbáceas según las condiciones de disponibilidad de agua. Especialmente, el ecotono como microhábitat sostuvo altos valores de diversidad herbácea. La presencia del ganado bajo pastoreo continuo de intensidad moderada a alta, especialmente el bovino, incrementó los rendimientos de producción y diversidad del estrato herbáceo. Los resultados de esta tesis nos muestran la importancia que tiene la existencia de un equilibrio entre la producción y la conservación de los sistemas agroforestales mediterráneos para obtener una producción sostenible de servicios ecosistémicos mientras se asegura la perpetuación del sistema a largo plazo. Es crucial diseñar planes de gestión incorporando objetivos de conservación que integren técnicas silvopastorales apropiadas para poder aplicar en los sistemas agroforestales mediterráneos. ABSTRACT Mediterranean scattered oak woodlands have great ecological and socio-economic importance, supporting high environmental and amenity values, and relatively rich biological diversity while producing important ecosystem services. They have been witnesses of different and fast changes developed in the last century. Most of the research developed in this dissertation has conducted within dehesas. This thesis provides: i) the global change evidence of the tree layer and grazing management experienced in the land-use range of a Mediterranean scattered oak woodland (dehesa) over the last 60 years; ii) the important role of scattered trees and adequate management grazing in the improvement of grassland yield, quality and diversity - which it is important, in turn, for the system profitability - under different climate scenarios and site quality; and iii) the lack of oak regeneration evidence under some given representative management regimes and how is the growth development of these plants to assure the viability and persistence of Mediterranean scattered oak woodlands. Tree layer experienced a significant reduction in dehesas during 1950-1980 period where the highest human impacts took place. Sheep herd decreased drastically during the 1970s and, in contrast, cattle have been increasing gradually since then. On the other hand, same livestock grazing management (especially cattle) during long time (minimum 30 years) within Mediterranean scattered oak woodlands reduced strongly the density of young oak plants and showed high probability of herbivory occurrence and intensity. Young plant growth pattern was greatly modified by livestock. Cattle grazing generated stunted plants and sheep grazing generated slender plants favoring the height growth. Microsites created by large trees modified the herbaceous yield according the water availability of the year and generated high plant diversity within herbaceous communities. Especially, ecotone microsite supported high values of herbaceous diversity. The presence of livestock species increased the herbaceous yield and maintained a more diverse community under continuous grazing at both moderate and high intensities; especially cattle. Thus, around the influence of scattered trees there is a high amount of different interactions among livestock, trees and grasslands maintaining and enhancing the quality of whole dehesa system. The results of this thesis highlight how important is balancing management and preservation of Mediterranean scattered oak woodlands to obtain the optimum ecosystem services while the system conservation is assured for a long-term. It is crucial to design management plans with conservation goals that include appropriate silvopastoral practices in Mediterranean scattered oak woodlands.