878 resultados para Keyboard instrument music (Keyboard instruments (2))


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La música puede afectar al individuo en todos sus niveles –físico, mental y espiritual–. El presente artículo se centra en el papel que ésta desempeña en el desarrollo de la vida espiritual y trascendental. Para ello, realizaremos un repaso histórico de su evolución estética y social, abordaremos dicho fenómeno a nivel fisiológico y presentaremos sus aplicaciones clínicas y sociales. Seguidamente y a modo de ejemplo de las concepciones de pensamiento occidental y oriental, trataremos la forma en que el cristianismo y el budismo conciben la música dentro de su doctrina. Finalizaremos con algunas reflexiones sobre el tema.

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Dissertação de Mestrado para obtenção do grau de Mestre em Design de Comunicação, apresentada na Universidade de Lisboa - Faculdade de Arquitectura.

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La enfermedad de Alzheimer (EA) es la demencia más frecuente y su prevalencia continúa en aumento tanto en Colombia como en el mundo. Esta investigación tuvo como objetivo explorar si las actitudes hacia la EA varían según la edad y género de 450 personas adultas colombianas. Se realizó un estudio exploratorio de corte transversal en el que se aplicó un cuestionario autodiligenciado. Se encontró que efectivamente hay algunas diferencias según la edad y el género en el componente cognoscitivo (creencias y conocimiento) y conductual (intención conductual y conducta) de las actitudes; y diferencias según el género en el componente afectivo. Se concluye que los conocimientos sobre la EA son escasos, que la tristeza es la emoción predominante hacia la EA y que es un tema de interés en el que predomina la idea de que afecta especialmente la memoria. Se discutieron los resultados reconociendo que esta es una aproximación inicial a las actitudes hacia la EA.

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The trumpet experienced important changes in terms of its musical use during the middle and late Baroque period. Prior to the Baroque, and even in to the first half of the 17th century, the trumpet had historically been used for rather "non-musical" purposes, sometimes as an instrument for battle or as a tool to be used in the town square to announce the arrival of a dignitary. On the whole, the trumpet was most certainly not used as an instrument of melody -that was typically reserved for violins, flutes, and oboes. However, in the late 1600's, composers such as Allesandro Stradella and Henry Purcell began to treat the trumpet differently. They saw the melodic potential in the trumpet and began to feature the trumpet more as an instrument of melody, as opposed to relegating it to only outlining triads and emphasizing harmony. Of course, keyboard, string, and woodwind instruments had long established a significant catalogue of works by the late 17th century. Additionally, even after the trumpet had been established as an instrument of melody, prominent composers of the time still wrote significantly more solo music for these other instrument families than for the trumpet. Consequently, the overall Baroque repertoire for the solo trumpet pales in comparison to that of the other families of instruments. But, much of this Baroque literature not originally written for trumpet can be presented effectively in the form of a transcription, thereby adding greatly to the repertoire of the Baroque solo trumpet. The goal of these three dissertation recitals is twofold: 1) to perform literature that offers music from a variety of countries of origin that span the entire Baroque era and 2) to feature music that has remained relatively unknown in the trumpet world, yet is musically strong. I will also introduce viable "new" music to the trumpet repertoire through Baroque transcriptions originally written for other instruments or voice. The majority of the transcriptions I will be performing have originated from my own listening and study of Baroque music, and I have selected music that I felt would translate well for the trumpet.

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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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Throughout the piano’s history, certain composers have created innovations in the areas of virtuosity and sonority. These innovations came not only from the composers’ imagination, but also from the development of instruments and changes in musical style from one period to another. To investigate what kinds of innovations these pianist composers made, I divided them into technique and sound from Mozart to Cowell. I chose two-piano music (Sonata in D major, K.448 by Mozart and Rachmaninoff’s Second Suite) to demonstrate their experiments with varieties of textures and sonorities, using different registers of the two pianos orchestrally. En Blanc et noir by Debussy shows this composer’s deep interest and originality in piano sonorities. For solo piano music, Beethoven’s Piano Sonata Op.53 shows extensive technical invention. His use of long pedal effects shows a pianistic possibility not explored by Mozart. Hummel’s Piano Sonata in D major represents orchestral devices as well as pianistic techniques showing recent developments in the instrument. Chopin’s Ballade No.3 and Scherzo No.3 show virtuosic moments and also the expanded range of the keyboard. His Nocturne Op.27, no.2, with its sonorities resulting from the combination of pedal, and widespread accompaniments derived from Alberti bass figures, is a perfect example of Chopin’s characteristic sound-world. “Vallée d’Obermann” by Liszt uses many virtuosic techniques as well as the extreme wide ranges of keyboard in both hands to create dramatic contrasts of texture. Debussy’s etude, “Pour les Sonorités opposés” is probably the first etude designed for sonority rather than for keyboard virtuosity. Albeniz’s “Evocación” and “Triana” show Spanish atmosphere. Prokofiev’s Sonata no.3 shows frequent motoric driving elements that demand percussive virtuosity. Cowell’s piano music is some of the earliest to explore the sonorities of tone clusters and playing on the strings. This performance dissertation consists of three recitals performed in the Orchestra Room, Leah Smith Hall, and Gildenhorn Recital Hall at the University of Maryland, College Park. These recitals are documented on compact disc recordings that are housed within the University of Maryland Library System.

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French music flourished from the last quarter of the nineteenth century into the early twentieth century, especially in the genres of opera and orchestral music. Although French keyboard music enjoyed less popularity, being overshadowed by these predominant genres, prominent impressionist figures Claude Debussy (1862-1918) and Maurice Ravel (1875-1937) . . brought its revival to the French music. Scholars consider Debussy to be a frontrunner of Impressionism, and his influence had a major impact on subsequent composers. As a result of his popularity, other significant works by French composers seem to be overlooked by pianists and audiences and are not as often performed. Because keyboard works by Debussy and Ravel are a popular performance choice among pianists, I was eager to examine music by other French composers. Through my resea,rch, I found many great works that warranted further study and deserve a place in the keyboard repertoire. This recording project contains works by lesser-known French composers written between the years of 1880 and 1950, namely Emmanuel Chabrier (1841-1894), Gabriel-Urbain Faure (1845-1924), Charles Koechlin (1867-1950), Albert Roussel (1869-1937), Erik Satie (1866-1925), Francis Poulenc (1899-1963), Darius Milhaud (1892-1974), Robert Casadesus (1899-1972) and Henri Dutilleux (b.1916). Since piano repertoire is abundant, it is sometimes difficult to create a performance program. Therefore, it frequently becomes the default to choosing familiar repertoire rather than using the opportunity to expand the repertoire. As a pianist, I feel responsible to search for hidden musical treasures with which pianists and audiences alike are not so well acquainted. This recording project explores nine lesser-known French compositions written between 1880 and 1950. I expect this to be an opportunity to introduce both pianists and audiences to outstanding but unfamiliar works by French composers. This dissertation was recorded on two compact discs in Dekelboum Concert Hall at Clarice Smith Performing Arts Center of the University of Maryland. The recordings are archived in the University of Maryland Library.

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Originally for 2 violins, 2 violas, bassoon, and continuo. Continuo part realized for keyboard instrument.

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The extended program notes include historical facts of the composers and characteristics of the pieces being performed. The thesis also includes information about Armenian composers starting from 18th to the 20th century, composition's historical background, brief biographies of the composers as well as analysis of form and structure. The graduate piano recital comprised the following compositions: Sayat Nova - R. Andriasian Yes Mi Kharib Blbuli Pes; Komitas - R. Andriasian Garun a, Shoker Jan, Dzirani Dzar, Gakavik; A. Khachaturyan Poem; A. Babadjanyan Elegy in Commemoration of A. Khachaturyan; E. Bagdasarian Humoresque, Prelude in D Minor, Prelude in B Minor; A. Babadjanyan Improvisation and Traditional from six Pictures; A. Babadjanyan Prelude and Vagarshapat Dance; A. Arutyunian Dance of Sasoon; A. Arutyunian - A. Babadjanyan Armenian Rhapsody for Two Pianos.

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The synthesizer has come a long way since wendy Carlos' 'Switched On Bach'. Unfortunately many would not realise it. Synthesizers are in most of the popular and commercial music we hear, and their development has followed the rapid development of computing technology, allowing sugnificant perfromance leaps every five years. In the last 10 years or so, the physical interface of synthesizers has changed little even while the sound generating hardware has raced ahead. The stabilisation of gestural controller, particularly keyboard-based controllers, has enabled tje synthesizer to establish itself as an expressive instrument and one worthy of the hours of practice required on any instrument to reach a high level of proficiency. It is now time for the instrumental study of synthesizer to be taken seriously by music educators across Australia, and I hope, through this paper, to shed some light on the path forward.

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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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The problem was to determine whether a method of aural and visual vocal training that included a program of portable electronic piano keyboard experience would be more effective in teaching sight-singing skills to novice high school chorus students than a method that included only aural and visual vocal training. A sub-problem was to determine whether novice chorus students enjoyed playing electronic keyboards in chorus as a reinforcement experience in sight-singing training. Students were randomly assigned to two treatment groups, tested with the Musical Aptitude Profile, Tonal Imagery, part A, and then trained separately. The experimental group sang repetitions of melodic patterns and utilized techniques associated with the Kodály Method while simultaneously playing keyboard. The comparison group received a similar treatment without using keyboards. The students were pre- and post-tested in sight-singing using the Vocal Sight-Reading Inventory. Results of the Analysis of Covariance using MAP scores as the covariate revealed no significant difference (p<.05) between post-test scores of the two groups. Improvement was noted in 96% of students from pre-test to post-test regardless of grouping. The repeated measures ANOVA revealed a significant relationship (p<.006) between aptitude group and post-test score. High aptitude students in both groups were found to benefit more from the training than low aptitude students. High aptitude keyboard group students achieved an average gain score that was 8.67 points higher than the comparison group. Of the total experimental group, 92% enjoyed playing keyboards in chorus. It is recommended that future research be undertaken to study the use of keyboards with advanced high school choruses and with uncertain singers in the high school chorus. Research is also needed to develop graded, valid, and reliable sight-singing tests for use in high school chorus. Techniques of the Kodály Method should be further investigated for use in high school sight-singing training.

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Nowadays multi-touch devices (MTD) can be found in all kind of contexts. In the learning context, MTD availability leads many teachers to use them in their class room, to support the use of the devices by students, or to assume that it will enhance the learning processes. Despite the raising interest for MTD, few researches studying the impact in term of performance or the suitability of the technology for the learning context exist. However, even if the use of touch-sensitive screens rather than a mouse and keyboard seems to be the easiest and fastest way to realize common learning tasks (as for instance web surfing behaviour), we notice that the use of MTD may lead to a less favourable outcome. The complexity to generate an accurate fingers gesture and the split attention it requires (multi-tasking effect) make the use of gestures to interact with a touch-sensitive screen more difficult compared to the traditional laptop use. More precisely, it is hypothesized that efficacy and efficiency decreases, as well as the available cognitive resources making the users’ task engagement more difficult. Furthermore, the presented study takes into account the moderator effect of previous experiences with MTD. Two key factors of technology adoption theories were included in the study: familiarity and self-efficacy with the technology.Sixty university students, invited to a usability lab, are asked to perform information search tasks on an online encyclopaedia. The different tasks were created in order to execute the most commonly used mouse actions (e.g. right click, left click, scrolling, zooming, key words encoding…). Two different conditions were created: (1) MTD use and (2) laptop use (with keyboard and mouse). The cognitive load, self-efficacy, familiarity and task engagement scales were adapted to the MTD context. Furthermore, the eye-tracking measurement would offer additional information about user behaviours and their cognitive load.Our study aims to clarify some important aspects towards the usage of MTD and the added value compared to a laptop in a student learning context. More precisely, the outcomes will enhance the suitability of MTD with the processes at stakes, the role of previous knowledge in the adoption process, as well as some interesting insights into the user experience with such devices.