The twentieth century jazz piano trio: the rise of an iconic jazz paradigm

Considerando a gravação de 1947 The Bud Powell Trio como a gravação referência de trio de piano de jazz moderno, esta tese centra-se no surgimento e evolução do trio de jazz moderno cujo líder é pianista. Começando por apresentar, uma resenha dos estilos e técnicas para piano de da época pre-Powell, esta tese investiga a génese dos trios de piano jazz e examina três dos mais influeciais pianostas de jazz e lideres dos mais legendários trios de piano jazz modernos: Bud Powell, Bill Evans e Keith Jarrett. Esta tese também abordará o paradoxo inerente a um sistema democrático - a expressão própria do individuo, em justaposição com a responsabilidade para com o todo – e a sua inequivoca analogia com o gestalt do trio de piano de jazz moderno. Desde a primeira gravação de um trio de jazz com pianista como líder em 1935, o trio de jazz moderno, evoluiu tornando-se um exemplo de democracia – um contexto de igualdade em que as funções rítmicas, harmónicas, e melódicas estão igualmente distribuídas entre os três instrumentistas, que são ao mesmo tempo solistas e acompanhadores. Esta tese sublinha a eficácia do trio de jazz moderno – o seu início, e porque subsiste – baseado na sua força e beleza estética; ABSTRACT: THE TWENTIETH CENTURY JAZZ PIANO TRIO – The Rise of an Iconic Jazz Paradigm by Susan Muscarella Designating Bud Powell’s 1947 recording, The Bud Powell Trio, as the modern jazz piano trio benchmark, here, this thesis traces the emergence and evolution of the pianistled, piano-bass-drums-comprised modern jazz piano trio. Beginning with a general overview of pre-Powell jazz piano styles and techniques, this thesis investigates the earliest, most salient pre-Powell jazz piano trios, and examines three seminal modern jazz pianists and leaders of legendary modern jazz piano trios, Bud Powell, Bill Evans and Keith Jarrett. This thesis also brings to the fore the paradox inherent in a democratic system – individual self-expression juxtaposed with responsibility to the whole – and its unequivocal analogy to the modern jazz piano trio gestalt. From the earliest recording of a primarily piano-dominated piano-bass-drums-comprised jazz piano trio in 1935, the modern jazz piano trio has evolved to become a paragon of democracy – an egalitarian playing field in which rhythmic, harmonic and melodic roles are evenly distributed among all three instrumentalists who have come to serve as both soloists and accompanists.

Prevalence of vocal problems in portuguese primary and secondary shool level teachers

This study compared the prevalence of vocal problems in two Portuguese groups: 73 teachers that use their voice as professional tool (teachers’ group) and 73 non-voice professionals (control group). It also identified the risk factors that contributed to teachers’ group voice problems. A questionnaire was applied to both goups in order to obtain information about vocal health, hygiene and behavior, professional activity and general physical health. Statistical results revealed that the teachers’ group presented a higher prevalence of vocal problems than the control group: 52% reported hoarseness, 46.6% vocal fatigue and 45.2% vocal discomfort compared with 31.5%, 20.5 % e 28.7%, respectively. Environmental factors (eg., smoke and cold temperatures), vocal abuse and upper respiratory pathologies (e.g., colds, laryngitis and pharyngitis) seemed to increase teachers’ voice disorders (p-value < .05). In conclusion, the absence of vocal pedagogy in the curricular plan of teachers’ higher education associated to poor working environmental conditions and professional voice demands explained the higher prevalence of vocal problems in teachers’ group.

Seis miniaturas de Mesías Maiguashca: análisis de seis de las siete piezas para piano

La presente tesis de maestría tuvo como propósito analizar seis de las 7 Piezas para piano de Mesías Maiguahsca. Se llevó a cabo una investigación bibliográfica-histórica que nos revela el trabajo de un compositor ecuatoriano de vanguardia desde sus inicios como pianista hasta sus recientes propuestas creativas, enfocándose principalmente en la producción musical realizada para piano. El trabajo se dedica al análisis de seis de las 7 Piezas para piano pero no sin antes conocer el contexto creativo, el cual es de importancia ya que esto nos proporciona una aproximación al lenguaje en la música instrumental de Mesías Maiguashca; en este caso: música sin transformaciones ni mixturada con algún otro elemento sonoro-musical. Esto permitió conocer sobre las influencias y materiales utilizados para la creación de una obra de carácter pedagógico para piano solo. El estudio se basó en la singularidad de cada una de las seis piezas, es decir, no existen parámetros estrictos y fijos para el análisis del corpus de la obra, sino que cada pieza dada su originalidad, ha sido objeto de un estudio particular; por supuesto que algunos aspectos del análisis se comparten pero la metodología propuesta es distinta en cada una de las piezas. Para finalizar se aporta un video donde el compositor explica y describe brevemente estas piezas para piano y una entrevista donde expone el modo de construcción de la pieza “Tres melodías”; estos elementos permitieron recabar información sobre las demás piezas y coadyuvaron a la resolución de cuestiones analíticas

A docência no piano : representações sociais de professores de escolas de música em Taguatinga

Dissertação (mestrado)—Universidade de Brasília, Instituto de Artes, Departamento de Música, Programa de Pós-graduação em Música, 2015.

Alicia Montfort Rubín: reconocida maestra de piano que traspasó las fronteras

Desde niña creció en un floreciente ambiente de arte y cultura, Alicia Montfort es una de las ejecutantes decanas del piano en Monterrey; junto a su hermano Héctor integró uno de los dúos de piano más reconocidos a nivel internacional. Virtuosismo y disciplina que transmitió en las aulas de aquella Escuela de Música que contribuyó a convertirla en Facultad.

Herramienta para mejorar la afinación vocal en Android

In this paper, a tool to improve vocal tuning in Android devices is presented. This application aims to offer exercises to practice and improve singing skills. The designed tool includes two main functionalities: sound synthesis, to provide with singing sound references, and fundamental frequency analysis, to analize the sound and check if the user sings the right musical note. The well-known Yin algorithm has been selected to perform the fundamental frequency analysis. Three different singing exercises are included: sing single notes, sing intervals and sing a note in order to complete a chord. The system also includes a graphical interface in which musical notation is employed to write down the singing sound. The system has been evaluated in order to test out its correct performance regarding both the analysis and synthesis of musical sounds.

Evolution of classifiers for pitch estimation of piano music using cartesian genetic programming

Pitch Estimation, also known as Fundamental Frequency (F0) estimation, has been a popular research topic for many years, and is still investigated nowadays. The goal of Pitch Estimation is to find the pitch or fundamental frequency of a digital recording of a speech or musical notes. It plays an important role, because it is the key to identify which notes are being played and at what time. Pitch Estimation of real instruments is a very hard task to address. Each instrument has its own physical characteristics, which reflects in different spectral characteristics. Furthermore, the recording conditions can vary from studio to studio and background noises must be considered. This dissertation presents a novel approach to the problem of Pitch Estimation, using Cartesian Genetic Programming (CGP).We take advantage of evolutionary algorithms, in particular CGP, to explore and evolve complex mathematical functions that act as classifiers. These classifiers are used to identify piano notes pitches in an audio signal. To help us with the codification of the problem, we built a highly flexible CGP Toolbox, generic enough to encode different kind of programs. The encoded evolutionary algorithm is the one known as 1 + , and we can choose the value for . The toolbox is very simple to use. Settings such as the mutation probability, number of runs and generations are configurable. The cartesian representation of CGP can take multiple forms and it is able to encode function parameters. It is prepared to handle with different type of fitness functions: minimization of f(x) and maximization of f(x) and has a useful system of callbacks. We trained 61 classifiers corresponding to 61 piano notes. A training set of audio signals was used for each of the classifiers: half were signals with the same pitch as the classifier (true positive signals) and the other half were signals with different pitches (true negative signals). F-measure was used for the fitness function. Signals with the same pitch of the classifier that were correctly identified by the classifier, count as a true positives. Signals with the same pitch of the classifier that were not correctly identified by the classifier, count as a false negatives. Signals with different pitch of the classifier that were not identified by the classifier, count as a true negatives. Signals with different pitch of the classifier that were identified by the classifier, count as a false positives. Our first approach was to evolve classifiers for identifying artifical signals, created by mathematical functions: sine, sawtooth and square waves. Our function set is basically composed by filtering operations on vectors and by arithmetic operations with constants and vectors. All the classifiers correctly identified true positive signals and did not identify true negative signals. We then moved to real audio recordings. For testing the classifiers, we picked different audio signals from the ones used during the training phase. For a first approach, the obtained results were very promising, but could be improved. We have made slight changes to our approach and the number of false positives reduced 33%, compared to the first approach. We then applied the evolved classifiers to polyphonic audio signals, and the results indicate that our approach is a good starting point for addressing the problem of Pitch Estimation.

Portfolio of compositions with commentaries 2012-2015

This writing forms part of a portfolio of works which gathers together notations and recordings made between 2012 and 2015. The writing divides into four chapters. The first chapter undertakes an examination of abstraction. From the proposition obtained therein, that it is possible to extend within abstraction beyond a correspondence between its terms and concrete manifestations, I ask in what way abstraction may be considered to function therefrom. The second chapter performs an analysis of radical music notations from the nineteenth, twentieth, and twenty-first centuries. The central analysis identifies what is essentially an evolution of what I call ''figuration'' throughout three non-chronological phases of Christian Wolff's notations. The chapter closes by questioning what form of understanding might yet be pursued in respect of this work given (a) its nature, and (b) the nature of our inquiry. The third chapter reflects on some of the philosophical problematics raised in the preceding chapters, at the same time as it prepares for those that follow in the final chapter. The final chapter is a record of the development of my thought appertaining to my compositional work. It sets out two case studies (prepared piano and postcard notations) before proceeding to a selected set of commentaries. Finally, the notion of the functioning of written and acoustical ''marks'' developed in the preceding commentaries is generalised as I develop an aesthetics of scriptural experience.

Micropolar flow in a porous channel with high mass transfer

Two dimensional flow of a micropolar fluid in a porous channel is investigated. The flow is driven by suction or injection at the channel walls, and the micropolar model due to Eringen is used to describe the working fluid. An extension of Berman's similarity transform is used to reduce the governing equations to a set of non-linear coupled ordinary differential equations. The latter are solved for large mass transfer via a perturbation analysis where the inverse of the cross-flow Reynolds number is used as the perturbing parameter. Complementary numerical solutions for strong injection are also obtained using a quasilinearisation scheme, and good agreement is observed between the solutions obtained from the perturbation analysis and the computations.