837 resultados para Music Recording


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Mode of access: Internet.

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Unlike other works of art (painting, sculpture, etc.) a musical composition should be performed, it should sound to become accessible. Therefore, the role of the musical masterly performance is extremely important. But presently it has increased in importance when music through mass communication media i.e. radio, television, sound recording becomes in the full sense of the word the property of millions. Art in all its genres as a means of information helps to recreate a picture of one or other epoch as a whole. Moreover, art has a profound impact on education: it can be positive or negative, creative or destructive. Let us dwell on such aspect of music as means of information and the value of musical mastery activity for brining information to hearers of the alternating generations. Unlike other works of art (painting, sculpture etc.) a musical composition should be performed, it should sound to become intelligible. Therefore, the role of the musical masterly performance is extremely important. But presently it becomes particularly great in the XXI century when music becomes a true property of the masses due to mass media – radio, television, sound recording.

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This study examines the correlation between how certified music educators understand audio technology and how they incorporate it in their instructional methods. Participants were classroom music teachers selected from fifty middle schools in Miami- Dade Public Schools. The study adopted a non-experimental research design in which a survey was the primary tool of investigation. The findings reveal that a majority of middle school music teachers in Miami-Dade are not familiar with advanced audiorecording software or any other digital device dedicated to the recording and processing of audio signals. Moreover, they report a lack of opportunities to develop this knowledge. Younger music teachers, however, are more open to developing up-to-date instructional methodologies. Most of the participants agreed that music instruction should be a platform for preparing students for a future in the entertainment industry. A basic knowledge of music business should be delivered to students enrolled in middle-school music courses.

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Engaging Ireland’s rich heritages of traditional music, story-telling, song, dance, and language, this doctoral composition project is a unique undertaking in the amalgamation of native art forms and the narrative realisation of Irish legends. The centrepiece of the project comprises of two collections of compositions inspired by the legends Oidhe Chloinne Lir (the tragic fate of the children of Lir) and Loinges Mac nUislenn (the exile of the sons of Uisliu). An interdisciplinary approach of traditional research and creative practice was employed in the development of this project, which informed and supported the formulation of personal and distinctive recensions of the chosen narratives, and the composition of over three hundred new works. Grounded in Irish traditional music, the compositional voice speaks in the familiar styles and structures of the idiom, and also resonates in contemporary and singular spaces. The Irish harping tradition is continued and extended in this research through the composition and recording of new music which is particularly suited to the instrument. Outputs include contextual, critical, and creative writings, recordings, video materials, musical scores, and storyboard and performance design artwork.

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UNESCO’s approval of the Convention on the Protection and Promotion of the Diversity of Cultural Expressions (UNESCO, 2005) has been an important element in catalyzing any attempt to measure the diversity of cultural industries (UIS, 2011). Within this framework, this article analyzes the relations between the music and radio industries in Spain from a critical perspective through the analysis of available data on recorded music offer and consumption (sales lists, radio-formula lists, the characteristics of the phonographic and radio markets) in different key moments due to the emergence of new formats and devices (CDS, Mp3, Internet).The main goal of this work is to study the evolution of the Spanish record market in terms of diversity from the end of the 1970s to the present, through the study of radio music hits lists and, the business structure of the phonographic and radio sectors, and phonograms top sales

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CD recording of the Rieger organ of St Giles' Cathedral Edinburgh, performed by Michael Harris, with music from Scottish composers, and composers based in Scotland, as well as French organ music from the seventeenth to twentieth centuries. Works by James MacMillan, Thomas Wilson, Kenneth Leighton, Alfred Hollins, de Grigny, Guilmant, Fleury and Franck.

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The enthusiasm towards writing music for the viola that flourished in the early 1900’s thanks to the efforts of a number of twentieth-century violists and composers rapidly spilled over to North and South America. Viola works by American and Canadian composers have already become cornerstones of the viola repertoire worldwide. On the other hand, compositions from other parts of the American continent remain lesser known outside of their country of origin. This is due in part to the less developed publishing and recording industry in these countries which makes it difficult for performers and programmers from other countries to buy or rent performing materials. As a violist born and trained in Venezuela, performing works by important Latin American composers to new audiences is deeply important to me. This dissertation was completed by performing selected works by Canadian, American, Cuban, Mexican, Brazilian, and Venezuelan composers. Composers from these countries have mixed their rich musical traditions with modern compositional techniques, creating original works that have greatly enriched the viola repertoire. This eclectic mixture of styles makes the music from Latin American composers not only very different from that of American and Canadian composers, but also very different from those of their neighboring countries. Through my three dissertation recitals, I intend to share this music with new audiences and inspire other violists to become familiar with this repertoire. The first recital includes compositions by American composers George Rochberg (1918-2015), Elliott Carter (1908-2012), and Alan Shulman (1915-2002) and Canadian composer Elizabeth Raum (b. 1945). The second recital includes works by Cuban composers Cesar Orozco (b. 1980), and Keyla Orozco (b. 1969), Venezuelan composers Aldemaro Romero (1928-2007) and Modesta Bor (1926-1998), and Venezuelan-Uruguayan composer Efrain Oscher (b. 1974). The third recital includes works by Mexican composers Carlos Chavez (1899-1978), José Pablo Moncayo (1912-1958) and Manuel M Ponce (1882-1948), and Brazilian composers Francisco Mignone (1897-1986) and Brenno Blauth (1931-1993). This music represents a bouquet of a distinctive mixture of styles from different parts of the American continent. Recordings of all three recitals can be accessed at the University of Maryland Hornabake Library.

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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.

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