Inculturation of Liturgical Music in the Roman Catholic Church of Igbo Land: A Compositional Study

A study of inculturation, composition and music among Catholics in Igboland, Nigeria. The article insects with contemporary discussions of inculturation/enculturation after Vatican II and the recommendation of St. John Paul II in his Ecclesia in Africa

A method for automatic gamelan music composition

Aim of this study is designing a method for automatic gamelan music composition using rule-base expert system approach. The program is designed for non-expert user in order to help them composing gamelan music or analyzing their composition to achieve explanation and recommendation of ideal composition. There are 2 essential components in this method, which are knowledge and inference. Knowledge is represented into basic knowledge and melodic knowledge. Basic knowledge contains rules that control the structure of gamelan song, and melodic knowledge supports system in composing or analyzing notations sequence that fit the characteristics of melody in gamelan music. Basic knowledge represents basic rules of gamelan music that have quantitative value, so deterministic approach is used for basic knowledge acquisition. Melodic knowledge consists of dynamic data, so stochastic approach is used to create the melodic knowledge base. The rules of composing and analyzing a composition are defined based on basic knowledge and melodic knowledge. The inference engine is designed to compose and analyze a composition. Automatic composition for gamelan music is proposed using Generate and Test method (GAT) with random technique, and composition analysis is proposed using backward chaining metho

When users generate music playlists: When words leave off, music begins?

Music systems that generate playlists are gaining increasing popularity, yet ways to select songs to be acceptable to users is still elusive. We present the results of an explorative study that focused on the language of musically untrained end users for playlist choices, in a variety of listening contexts. Our results indicate that there are a number of opportunities for playlist recommendation or retrieval systems, particularly by taking context into account

Comparison of group recommendation algorithms

In recent years recommender systems have become the common tool to handle the information overload problem of educational and informative web sites, content delivery systems, and online shops. Although most recommender systems make suggestions for individual users, in many circumstances the selected items (e.g., movies) are not intended for personal usage but rather for consumption in groups. This paper investigates how effective group recommendations for movies can be generated by combining the group members' preferences (as expressed by ratings) or by combining the group members' recommendations. These two grouping strategies, which convert traditional recommendation algorithms into group recommendation algorithms, are combined with five commonly used recommendation algorithms to calculate group recommendations for different group compositions. The group recommendations are not only assessed in terms of accuracy, but also in terms of other qualitative aspects that are important for users such as diversity, coverage, and serendipity. In addition, the paper discusses the influence of the size and composition of the group on the quality of the recommendations. The results show that the grouping strategy which produces the most accurate results depends on the algorithm that is used for generating individual recommendations. Therefore, the paper proposes a combination of grouping strategies which outperforms each individual strategy in terms of accuracy. Besides, the results show that the accuracy of the group recommendations increases as the similarity between members of the group increases. Also the diversity, coverage, and serendipity of the group recommendations are to a large extent dependent on the used grouping strategy and recommendation algorithm. Consequently for (commercial) group recommender systems, the grouping strategy and algorithm have to be chosen carefully in order to optimize the desired quality metrics of the group recommendations. The conclusions of this paper can be used as guidelines for this selection process

Forty Years of Fellowships: A Study of Orchestras' Efforts to Include African American and Latino Musicians

This report, commissioned by the League of American Orchestras, is the first systematic effort to review the record of those fellowships from the perspectives of the orchestras and the musicians who have participated in them. Until now there has been no single source for information about which orchestras conducted fellowships, when they were conducted, and how many musicians were fellows. This report answers important questions about what happened to fellows across all the programs after their fellowships were completed: Did they successfully compete for orchestra jobs? Did their careers take other paths? It also provides a view of their experiences as fellows: How did they benefit from the experience? What kinds of problems did they experience? Until now, no data has been collected that reflects the judgment of orchestra leaders and other experts about the dynamics of launching and managing a fellowship program. Through the frame of these fellowship programs, what can be learned about broader diversity issues for orchestras? For the first time, we are able to present the following information and analysis:* The first section of this report, "Forty Years of Fellowships," presents all available program and impact data relating to orchestra fellowships, from 1976 to the present day. It reflects documentation supplied by orchestras themselves, following a scoping survey of League members, and the results of supplemental web research. It identifies the orchestras that have had fellowships, counts the fellows, and reviews the elements that are characteristic of fellowship programs. It defines the fundamental characteristics of fellowship programs, notes three different basic models, tracks career outcomes for fellows, and explores the cost and financing of fellowship programs.* The second section, "Forty Years of Fellows," explores the perspectives of musicians who have been fellows over the years. Interviews with 21 fellowship program alumni were conducted, including one or more fellows from every fellowship program.* The third section, "Fellowship/Leadership: Voices of Experience," examines the perspectives of orchestra leaders, program managers, and a few outside experts as they reflect on the dynamics of fellowship programs, their value for orchestras, and the place of fellowships within the larger challenge of making orchestras more inclusive and diverse institutions

Current Challenges and Visions in Music Recommender Systems Research

Music recommender systems (MRS) have experienced a boom in recent years, thanks to the emergence and success of online streaming services, which nowadays make available almost all music in the world at the user's fingertip. While today's MRS considerably help users to find interesting music in these huge catalogs, MRS research is still facing substantial challenges. In particular when it comes to build, incorporate, and evaluate recommendation strategies that integrate information beyond simple user--item interactions or content-based descriptors, but dig deep into the very essence of listener needs, preferences, and intentions, MRS research becomes a big endeavor and related publications quite sparse. The purpose of this trends and survey article is twofold. We first identify and shed light on what we believe are the most pressing challenges MRS research is facing, from both academic and industry perspectives. We review the state of the art towards solving these challenges and discuss its limitations. Second, we detail possible future directions and visions we contemplate for the further evolution of the field. The article should therefore serve two purposes: giving the interested reader an overview of current challenges in MRS research and providing guidance for young researchers by identifying interesting, yet under-researched, directions in the field