745 resultados para Holy Week music.


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We analyze the AlApana of a Carnatic music piece without the prior knowledge of the singer or the rAga. AlApana is ameans to communicate to the audience, the flavor or the bhAva of the rAga through the permitted notes and its phrases. The input to our analysis is a recording of the vocal AlApana along with the accompanying instrument. The AdhAra shadja(base note) of the singer for that AlApana is estimated through a stochastic model of note frequencies. Based on the shadja, we identify the notes (swaras) used in the AlApana using a semi-continuous GMM. Using the probabilities of each note interval, we recognize swaras of the AlApana. For sampurNa rAgas, we can identify the possible rAga, based on the swaras. We have been able to achieve correct shadja identification, which is crucial to all further steps, in 88.8% of 55 AlApanas. Among them (48 AlApanas of 7 rAgas), we get 91.5% correct swara identification and 62.13% correct R (rAga) accuracy.

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Compressive Sensing (CS) is a new sensing paradigm which permits sampling of a signal at its intrinsic information rate which could be much lower than Nyquist rate, while guaranteeing good quality reconstruction for signals sparse in a linear transform domain. We explore the application of CS formulation to music signals. Since music signals comprise of both tonal and transient nature, we examine several transforms such as discrete cosine transform (DCT), discrete wavelet transform (DWT), Fourier basis and also non-orthogonal warped transforms to explore the effectiveness of CS theory and the reconstruction algorithms. We show that for a given sparsity level, DCT, overcomplete, and warped Fourier dictionaries result in better reconstruction, and warped Fourier dictionary gives perceptually better reconstruction. “MUSHRA” test results show that a moderate quality reconstruction is possible with about half the Nyquist sampling.

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Music signals comprise of atomic notes drawn from a musical scale. The creation of musical sequences often involves splicing the notes in a constrained way resulting in aesthetically appealing patterns. We develop an approach for music signal representation based on symbolic dynamics by translating the lexicographic rules over a musical scale to constraints on a Markov chain. This source representation is useful for machine based music synthesis, in a way, similar to a musician producing original music. In order to mathematically quantify user listening experience, we study the correlation between the max-entropic rate of a musical scale and the subjective aesthetic component. We present our analysis with examples from the south Indian classical music system.

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We address the problem of multi-instrument recognition in polyphonic music signals. Individual instruments are modeled within a stochastic framework using Student's-t Mixture Models (tMMs). We impose a mixture of these instrument models on the polyphonic signal model. No a priori knowledge is assumed about the number of instruments in the polyphony. The mixture weights are estimated in a latent variable framework from the polyphonic data using an Expectation Maximization (EM) algorithm, derived for the proposed approach. The weights are shown to indicate instrument activity. The output of the algorithm is an Instrument Activity Graph (IAG), using which, it is possible to find out the instruments that are active at a given time. An average F-ratio of 0 : 7 5 is obtained for polyphonies containing 2-5 instruments, on a experimental test set of 8 instruments: clarinet, flute, guitar, harp, mandolin, piano, trombone and violin.

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The tonic is a fundamental concept in Indian art music. It is the base pitch, which an artist chooses in order to construct the melodies during a rg(a) rendition, and all accompanying instruments are tuned using the tonic pitch. Consequently, tonic identification is a fundamental task for most computational analyses of Indian art music, such as intonation analysis, melodic motif analysis and rg recognition. In this paper we review existing approaches for tonic identification in Indian art music and evaluate them on six diverse datasets for a thorough comparison and analysis. We study the performance of each method in different contexts such as the presence/absence of additional metadata, the quality of audio data, the duration of audio data, music tradition (Hindustani/Carnatic) and the gender of the singer (male/female). We show that the approaches that combine multi-pitch analysis with machine learning provide the best performance in most cases (90% identification accuracy on average), and are robust across the aforementioned contexts compared to the approaches based on expert knowledge. In addition, we also show that the performance of the latter can be improved when additional metadata is available to further constrain the problem. Finally, we present a detailed error analysis of each method, providing further insights into the advantages and limitations of the methods.

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In recent years, multifaceted clinical benefits of polymeric therapeutics have been reported. Over the past decades, cancer has been one of the leading causes of mortality in the world. Many clinically approved chemotherapeutics encounter potential challenges against deadly cancer. Moreover, safety and efficacy of anticancer agents have been limited by undesirable pharmacokinetics and biodistribution. To address these limitations, various polymer drug conjugates are being studied and developed to improve the antitumor efficacy. Among other therapeutics, polymer therapeutics are well established platforms that circumvent anticancer therapeutics from enzymatic metabolism via direct conjugation to therapeutic molecules. Interestingly, polymer therapeutics meets an unmet need of small molecules. Further clinical study showed that polymer-drug conjugation can achieve desired pharmacokinetics and biodistribution properties of several anticancer drugs. The present retrospective review mainly enlightens the most recent preclinical and clinical studies include safety, stability, pharmacokinetic behavior and distribution of polymer therapeutics.

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We formulate the problem of detecting the constituent instruments in a polyphonic music piece as a joint decoding problem. From monophonic data, parametric Gaussian Mixture Hidden Markov Models (GM-HMM) are obtained for each instrument. We propose a method to use the above models in a factorial framework, termed as Factorial GM-HMM (F-GM-HMM). The states are jointly inferred to explain the evolution of each instrument in the mixture observation sequence. The dependencies are decoupled using variational inference technique. We show that the joint time evolution of all instruments' states can be captured using F-GM-HMM. We compare performance of proposed method with that of Student's-t mixture model (tMM) and GM-HMM in an existing latent variable framework. Experiments on two to five polyphony with 8 instrument models trained on the RWC dataset, tested on RWC and TRIOS datasets show that F-GM-HMM gives an advantage over the other considered models in segments containing co-occurring instruments.

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We have constructed plasmids to be used for in vitro signature-tagged mutagenesis (STM) of Campylobacter jejuni and used these to generate STM libraries in three different strains. Statistical analysis of the transposon insertion sites in the C. jejuni NCTC 11168 chromosome and the plasmids of strain 81-176 indicated that their distribution was not uniform. Visual inspection of the distribution suggested that deviation from uniformity was not due to preferential integration of the transposon into a limited number of hot spots but rather that there was a bias towards insertions around the origin. We screened pools of mutants from the STM libraries for their ability to colonize the ceca of 2-week-old chickens harboring a standardized gut flora. We observed high-frequency random loss of colonization proficient mutants. When cohoused birds were individually inoculated with different tagged mutants, random loss of colonization-proficient mutants was similarly observed, as was extensive bird-to-bird transmission of mutants. This indicates that the nature of campylobacter colonization in chickens is complex and dynamic, and we hypothesize that bottlenecks in the colonization process and between-bird transmission account for these observations.

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Resumen: La salud mental y el bienestar son fundamentales para nuestra capacidad colectiva y individual como seres humanos de pensar, de exteriorizar los sentimientos, de establecer y mantener relaciones, para estudiar, para perseguir las actividades de ocio, para tomar decisiones diarias y para disfrutar de una vida plena. Una adolescencia saludable es un prerrequisito para una vida adulta saludable. Sin embargo, la realidad actual presenta un panorama preocupante. La formación del capital mental individual y colectivo - especialmente en las primeras etapas de la vida - está siendo retenida por una serie de riesgos evitables para la salud mental (World Health Organization [WHO], 2013). Los adolescentes del sur de Europa (región que ha sido más severamente afectada por la crisis financiera; e.g., Portugal) son señalados como un grupo extremadamente vulnerable, ya que su salud mental fácilmente podría ser influenciada por las dificultades económicas de sus padres y la escasez de solidaridad social (European Parliament, 2012). La promoción de la salud mental de los adolescentes es considerada como una preocupación fundamental (WHO, 2005a, 2013). En este ámbito, las intervenciones centradas en la promoción de la literacía de la salud mental han revelado importantes ventajas en la prevención, reconocimiento, intervención precoz y la reducción del estigma (Pinfold, Stuart, Thornicroft & Arboleda-Florez, 2005; Pinfold, Toulmin, Thornicroft, Huxley, Farmer & Graham, 2003; Schulze, Richter-Werling, Matschinger & Angermeyer, 2003; Stuart, 2006). En consonancia con los marcos de promoción de la salud mentales propuestos por la Organización Mundial de la Salud (2005a), tenemos que involucrar a jóvenes en los ambientes donde interactúan (Burns, 2011). Las escuelas son implícitamente uno de los locales más importantes para la promoción de la salud mental de los adolescentes (Barry, Clarke, Jenkins & Patel, 2013; WHO, 2001). El proyecto “Abrir Espacio para la Salud Mental – Promoción de la salud mental en adolescentes (12-14 años)” tiene como objetivo incrementar literacía de la salud mental en los jóvenes. En el primer año se ha desarrollado un instrumento de evaluación - Mental Health Literacy questionnaire (MHLq) - y la intervención para la promoción de la salud mental. La intervención consiste en 2 sesiones, 90 minutos cada una, implementadas con intervalo de una semana. Siguen una metodología interactiva, utilizando dinámicas de grupo, videos, música y discusión. El estudio de la eficacia de la intervención se lleva a cabo mediante un análisis pre y pos-test con el MHLq, utilizando un grupo experimental y un grupo de control. Este artículo presenta los resultados preliminares de la eficacia de la intervención de promoción de la salud mental en una muestra de 100 adolescentes portugueses (12-14 años). El pos-test mostró un incremento de los niveles de conocimientos de salud mental y estrategias de autoayuda. Los resultados sugieren que la intervención desarrollada parece ser adecuada al objetivo propuesto y refuerzan la creencia de que intervenciones escolares, sistemáticas y sostenibles, para la promoción de la salud mental con jóvenes, es un enfoque prometedor para la promoción de la literacía de la salud mental (Schulze et al., 2003; Rickwood et al., 2005; Corrigan et al., 2007; WHO, 2010).

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This paper proposes a new method for local key and chord estimation from audio signals. This method relies primarily on principles from music theory, and does not require any training on a corpus of labelled audio files. A harmonic content of the musical piece is first extracted by computing a set of chroma vectors. A set of chord/key pairs is selected for every frame by correlation with fixed chord and key templates. An acyclic harmonic graph is constructed with these pairs as vertices, using a musical distance to weigh its edges. Finally, the sequences of chords and keys are obtained by finding the best path in the graph using dynamic programming. The proposed method allows a mutual chord and key estimation. It is evaluated on a corpus composed of Beatles songs for both the local key estimation and chord recognition tasks, as well as a larger corpus composed of songs taken from the Billboard dataset.

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This note describes changes to the relative extent of four structurally dominant submerged macrophytes in a pond on Holy Island National Nature Reserve, Northumbria, between 1991 and 1998. The estimated extent of the four submerged macrophytes and bare substratum between 1991 and 1998 showed dramatic changes with no obvious pattern or periodicity, as well as no identifiable natural or anthropogenic causes. Chaotic variation may be an important character of submerged pond plant populations, so that surveys taken in a single year may give an unreliable picture of plant populations.

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A proposta do trabalho é investigar a música e sua centralidade nos rituais do Santo Daime ligados ao Centro Eclético da Fluente Luz Universal Raimundo Irineu Serra (CEFLURIS), fundado na década de 1970. A metodologia utilizada é a observação participante nos trabalhos de hinário, presenciados nas igrejas cariocas Céu do Mar e Jardim Praia da Beira-Mar e do conjunto de dez entrevistas em profundidade. Além de um capítulo da descrição do campo e outro com a revisão bibliográfica da literatura antropológica do Santo Daime, a dissertação conta com três capítulos de análise. O primeiro deles é aberto com a revisão de estudos da etnomusicologia para então abordar o ritual de hinário e a relação entre tempo e música na orientação de tarefas específicas durante as cerimônias; o que constrói entre outras coisas, uma nova concepção de realidade devido aos aspectos poético-musicais aliados ao contexto psicotrópico e ritualístico como um todo. No capítulo seguinte se discute a interpretação nativa que descreve a gênese dos hinos religiosos como um recebimento e suas especificidades, contrapostas a uma idéia de composição musical. As falas do grupo sobre a natureza dos pensamentos, sentimentos e a subjetividade, refletem-se nas noções de sagrado e nas diferenciações hierárquicas nos salões das igrejas daimistas, utilizando o conceito de micropolítica dos sentimentos o dialogo é construído desta vez com os estudos da antropologia das emoções. O terceiro capítulo da análise está voltado para uma discussão sobre as situações que envolvem a oferta de hinos em um complexo circuito de dádivas, quando o daimista presenteia outro membro do grupo por intermédio de canções religiosas, ligando o mundo dos espíritos e os homens pelo ato do presentear. Esta etapa do trabalho também é precedida por uma revisão da literatura antropológica, voltada para estudos clássicos sobre a dádiva, destacando-se a discussão da troca como uma gramática. Todas as fases da análise são introduzidas por revisões teóricas e, da forma como o trabalho está estruturado, os temas abordados nos capítulos iniciais são continuamente retomados ao longo das discussões. O argumento central da dissertação é construído sobre as seguintes questões: Qual o espaço ocupado pela música na vida diária dos seguidores da religião do Santo Daime e dentro dos rituais? De que maneira essas canções são como pontes de ligação entre as esferas sagrada e profana? Como as músicas orientam a práxis religiosa e as relações entre os crentes? De que forma os hinos religiosos do Santo Daime são capazes de suscitar e expressar sentimentos específicos? E enfim: como música e sentimento se articulam na conformação deste tipo de experiência religiosa?