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Description
In order to cope with the decreasing availability of symphony jobs and collegiate faculty positions, many musicians are starting to pursue less traditional career paths. Also, to combat declining audiences, musicians are exploring ways to cultivate new and enthusiastic listeners through relevant and engaging performances. Due to these challenges, many community-based chamber music ensembles have been formed throughout the United States. These groups not only focus on performing classical music, but serve the needs of their communities as well. The problem, however, is that many musicians have not learned the business skills necessary to create these career opportunities. In this document I discuss the steps ensembles must take to develop sustainable careers. I first analyze how groups build a strong foundation through getting to know their communities and creating core values. I then discuss branding and marketing so ensembles can develop a public image and learn how to publicize themselves. This is followed by an investigation of how ensembles make and organize their money. I then examine the ways groups ensure long-lasting relationships with their communities and within the ensemble. I end by presenting three case studies of professional ensembles to show how groups create and maintain successful careers. Ensembles must develop entrepreneurship skills in addition to cultivating their artistry. These business concepts are crucial to the longevity of chamber groups. Through interviews of successful ensemble members and my own personal experiences in the Tetra String Quartet, I provide a guide for musicians to use when creating a community-based ensemble.
ContributorsDalbey, Jenna (Author) / Landschoot, Thomas (Thesis advisor) / McLin, Katherine (Committee member) / Ryan, Russell (Committee member) / Solis, Theodore (Committee member) / Spring, Robert (Committee member) / Arizona State University (Publisher)
Created2013
Description
This project is a practical annotated bibliography of original works for oboe trio with the specific instrumentation of two oboes and English horn. Presenting descriptions of 116 readily available oboe trios, this project is intended to promote awareness, accessibility, and performance of compositions within this genre.
The annotated bibliography focuses exclusively on original, published works for two oboes and English horn. Unpublished works, arrangements, works that are out of print and not available through interlibrary loan, or works that feature slightly altered instrumentation are not included.
Entries in this annotated bibliography are listed alphabetically by the last name of the composer. Each entry includes the dates of the composer and a brief biography, followed by the title of the work, composition date, commission, and dedication of the piece. Also included are the names of publishers, the length of the entire piece in minutes and seconds, and an incipit of the first one to eight measures for each movement of the work.
In addition to providing a comprehensive and detailed bibliography of oboe trios, this document traces the history of the oboe trio and includes biographical sketches of each composer cited, allowing readers to place the genre of oboe trios and each individual composition into its historical context. Four appendices at the end include a list of trios arranged alphabetically by composer's last name, chronologically by the date of composition, and by country of origin and a list of publications of Ludwig van Beethoven's oboe trios from the 1940s and earlier.
The annotated bibliography focuses exclusively on original, published works for two oboes and English horn. Unpublished works, arrangements, works that are out of print and not available through interlibrary loan, or works that feature slightly altered instrumentation are not included.
Entries in this annotated bibliography are listed alphabetically by the last name of the composer. Each entry includes the dates of the composer and a brief biography, followed by the title of the work, composition date, commission, and dedication of the piece. Also included are the names of publishers, the length of the entire piece in minutes and seconds, and an incipit of the first one to eight measures for each movement of the work.
In addition to providing a comprehensive and detailed bibliography of oboe trios, this document traces the history of the oboe trio and includes biographical sketches of each composer cited, allowing readers to place the genre of oboe trios and each individual composition into its historical context. Four appendices at the end include a list of trios arranged alphabetically by composer's last name, chronologically by the date of composition, and by country of origin and a list of publications of Ludwig van Beethoven's oboe trios from the 1940s and earlier.
ContributorsSassaman, Melissa Ann (Author) / Schuring, Martin (Thesis advisor) / Buck, Elizabeth (Committee member) / Holbrook, Amy (Committee member) / Hill, Gary (Committee member) / Arizona State University (Publisher)
Created2014
Description
As urban populations become increasingly dense, massive amounts of new 'big' data that characterize human activity are being made available and may be characterized as having a large volume of observations, being produced in real-time or near real-time, and including a diverse variety of information. In particular, spatial interaction (SI) data - a collection of human interactions across a set of origins and destination locations - present unique challenges for distilling big data into insight. Therefore, this dissertation identifies some of the potential and pitfalls associated with new sources of big SI data. It also evaluates methods for modeling SI to investigate the relationships that drive SI processes in order to focus on human behavior rather than data description.
A critical review of the existing SI modeling paradigms is first presented, which also highlights features of big data that are particular to SI data. Next, a simulation experiment is carried out to evaluate three different statistical modeling frameworks for SI data that are supported by different underlying conceptual frameworks. Then, two approaches are taken to identify the potential and pitfalls associated with two newer sources of data from New York City - bike-share cycling trips and taxi trips. The first approach builds a model of commuting behavior using a traditional census data set and then compares the results for the same model when it is applied to these newer data sources. The second approach examines how the increased temporal resolution of big SI data may be incorporated into SI models.
Several important results are obtained through this research. First, it is demonstrated that different SI models account for different types of spatial effects and that the Competing Destination framework seems to be the most robust for capturing spatial structure effects. Second, newer sources of big SI data are shown to be very useful for complimenting traditional sources of data, though they are not sufficient substitutions. Finally, it is demonstrated that the increased temporal resolution of new data sources may usher in a new era of SI modeling that allows us to better understand the dynamics of human behavior.
A critical review of the existing SI modeling paradigms is first presented, which also highlights features of big data that are particular to SI data. Next, a simulation experiment is carried out to evaluate three different statistical modeling frameworks for SI data that are supported by different underlying conceptual frameworks. Then, two approaches are taken to identify the potential and pitfalls associated with two newer sources of data from New York City - bike-share cycling trips and taxi trips. The first approach builds a model of commuting behavior using a traditional census data set and then compares the results for the same model when it is applied to these newer data sources. The second approach examines how the increased temporal resolution of big SI data may be incorporated into SI models.
Several important results are obtained through this research. First, it is demonstrated that different SI models account for different types of spatial effects and that the Competing Destination framework seems to be the most robust for capturing spatial structure effects. Second, newer sources of big SI data are shown to be very useful for complimenting traditional sources of data, though they are not sufficient substitutions. Finally, it is demonstrated that the increased temporal resolution of new data sources may usher in a new era of SI modeling that allows us to better understand the dynamics of human behavior.
ContributorsOshan, Taylor Matthew (Author) / Fotheringham, A. S. (Thesis advisor) / Farmer, Carson J.Q. (Committee member) / Rey, Sergio S.J. (Committee member) / Nelson, Trisalyn (Committee member) / Arizona State University (Publisher)
Created2017
Description
The repertoire for guitar and piano duo is small in comparison with other chamber music instrumentation; therefore, it is important to broaden this repertoire. In addition to creating original compositions, arrangements of existing works contribute to this expansion.
This project focuses on an arrangement of Bachianas Brasileiras No. 1 by Brazilian composer Heitor Villa-Lobos (1887-1959), a work originally conceived for cello ensemble with a minimum of eight cellos. In order to contextualize the proposed arrangement, this study contains a brief historical listing of the repertoire for guitar and piano duo and of the guitar works by Villa-Lobos. Also, it includes a description of the Bachianas Brasileiras series and a discussion of the arranging methodology that shows how the original musical ideas of the composer were adapted using techniques that are idiomatic to the guitar and piano. The full arrangement is included in Appendix A.
This project focuses on an arrangement of Bachianas Brasileiras No. 1 by Brazilian composer Heitor Villa-Lobos (1887-1959), a work originally conceived for cello ensemble with a minimum of eight cellos. In order to contextualize the proposed arrangement, this study contains a brief historical listing of the repertoire for guitar and piano duo and of the guitar works by Villa-Lobos. Also, it includes a description of the Bachianas Brasileiras series and a discussion of the arranging methodology that shows how the original musical ideas of the composer were adapted using techniques that are idiomatic to the guitar and piano. The full arrangement is included in Appendix A.
ContributorsFigueiredo Bartoloni, Fabio (Author) / Koonce, Frank (Thesis advisor) / Suzuki, Kotoka (Committee member) / Landschoot, Thomas (Committee member) / Arizona State University (Publisher)
Created2016
Description
Phantom Sun is a ten-minute piece in three sections, and is composed for flute, clarinet in b-flat, violin, cello, and percussion. The three-part structure for this work is a representation of the atmospheric phenomenon after which the composition is named. A phantom sun, also called a parhelion or sundog, is a weather-related phenomenon caused by the horizontal refraction of sunlight in the upper atmosphere. This refraction creates the illusion of three suns above the horizon, and is often accompanied by a bright halo called the circumzenithal arc. The halo is caused by light bending at 22° as it passes through hexagonal ice crystals. Consequently, the numbers six and 22 are important figures, and have been encoded into this piece in various ways.
The first section, marked “With concentrated intensity,” is characterized by the juxtaposition of tonal ambiguity and tonal affirmation, as well as the use of polymetric counterpoint (often 7/8 against 4/4 or 7/8 against 3/4). The middle section, marked “Crystalline,” provides contrast in its use of unmetered sections and independent tempos. The refraction of light is represented in this movement by a 22-note row based on a hexachord (B-flat, F, C, G, A, E) introduced in measure 164 of the first section. The third section, marked “With frenetic energy,” begins without pause on an arresting entrance of the drums playing an additive rhythmic pattern. This pattern (5+7+9+1) amounts to 22 eighth-note pulses and informs much of the motivic and structural considerations for the remainder of the piece.
The first section, marked “With concentrated intensity,” is characterized by the juxtaposition of tonal ambiguity and tonal affirmation, as well as the use of polymetric counterpoint (often 7/8 against 4/4 or 7/8 against 3/4). The middle section, marked “Crystalline,” provides contrast in its use of unmetered sections and independent tempos. The refraction of light is represented in this movement by a 22-note row based on a hexachord (B-flat, F, C, G, A, E) introduced in measure 164 of the first section. The third section, marked “With frenetic energy,” begins without pause on an arresting entrance of the drums playing an additive rhythmic pattern. This pattern (5+7+9+1) amounts to 22 eighth-note pulses and informs much of the motivic and structural considerations for the remainder of the piece.
ContributorsMitton, Stephen LeRoy (Author) / DeMars, James (Thesis advisor) / Norton, Kay (Committee member) / Rogers, Rodney (Committee member) / Arizona State University (Publisher)
Created2017
Description
Arnold Schoenberg’s Pierrot Lunaire, written in 1912 for an ensemble of flute, clarinet, piano, violin, cello, and voice
arrator (with certain instrumental doublings), has, since its premiere, greatly influenced composers writing chamber music. In fact, this particular instrumentation has become known as the “Pierrot Ensemble,” with variations on Schoenberg’s creation used by Igor Stravinsky, Luciano Berio, and many other composers.
There are many resources devoted to music for chamber winds composed during the twentieth century, including those inspired by Schoenberg’s configuration. Additionally, many sources have comprehensively covered known chamber music composed before 1900. However, there is very little research dedicated to chamber wind music composed since 2000.
The purpose of this study is to contribute to the body of research about the music by: 1) creating an annotated bibliography of 21st century wind chamber music.; and 2) thereby catalyzing the discovery of recently composed wind chamber music. Moreover, I hope to address and encourage diversity through my research. To that end, the Composer’s Diversity Database was used as a primary resource for discovering compositions written since 2000 for wind/percussion-based ensembles comprising six to thirteen players.
arrator (with certain instrumental doublings), has, since its premiere, greatly influenced composers writing chamber music. In fact, this particular instrumentation has become known as the “Pierrot Ensemble,” with variations on Schoenberg’s creation used by Igor Stravinsky, Luciano Berio, and many other composers.
There are many resources devoted to music for chamber winds composed during the twentieth century, including those inspired by Schoenberg’s configuration. Additionally, many sources have comprehensively covered known chamber music composed before 1900. However, there is very little research dedicated to chamber wind music composed since 2000.
The purpose of this study is to contribute to the body of research about the music by: 1) creating an annotated bibliography of 21st century wind chamber music.; and 2) thereby catalyzing the discovery of recently composed wind chamber music. Moreover, I hope to address and encourage diversity through my research. To that end, the Composer’s Diversity Database was used as a primary resource for discovering compositions written since 2000 for wind/percussion-based ensembles comprising six to thirteen players.
ContributorsBrown, Jr., Fredrick Marcell (Author) / Hill, Gary W. (Thesis advisor) / Caslor, Jason (Committee member) / Schmelz, Peter (Committee member) / Stover, Christopher (Committee member) / Arizona State University (Publisher)
Created2019
Description
ABSTRACT
The purpose of this study is to analyze Tunes from My Home, a Trio for Violin, Cello, and Piano by Chinese-American composer Chen Yi (b. 1953), as well as to provide a performance guide from a collaborative pianist's perspective. Of Cantonese origin herself, Chen Yi composed several works inspired by Cantonese music, including this trio. Chen Yi composed this trio between 2007 and 2008 and dedicated it to her long time friend pianist Pan Xun, who is also of Cantonese origin. Inspired by this shared Cantonese heritage, Chen Yi incorporated within this work three well-known Cantonese tunes, Cantonese instrumental techniques and sonorities, and elements of the shifan luogu, a wind and percussion ensemble often used in traditional Cantonese music. Coming from the same region as the composer, the author of this paper feels connected with this piece, and as a collaborative pianist, has the opportunity to introduce Cantonese music to a wider audience through the piano trio. Chapter one introduces the motivation for this study. Chapter two provides a brief biography of Chen Yi. Chapter three introduces the history, the scales, and the instruments of Cantonese music as well as other Cantonese influences on this trio, especially the three tunes. Chapter four includes a detailed analysis of each movement in terms of the form and application of the tunes and rhythms of Cantonese music. Chapter five shares the author’s experience of approaching and interpreting this piece in an appropriate style based on her Cantonese roots. The conclusion evaluates the significance of the fusion of Cantonese music with Western compositional techniques in this piece.
The purpose of this study is to analyze Tunes from My Home, a Trio for Violin, Cello, and Piano by Chinese-American composer Chen Yi (b. 1953), as well as to provide a performance guide from a collaborative pianist's perspective. Of Cantonese origin herself, Chen Yi composed several works inspired by Cantonese music, including this trio. Chen Yi composed this trio between 2007 and 2008 and dedicated it to her long time friend pianist Pan Xun, who is also of Cantonese origin. Inspired by this shared Cantonese heritage, Chen Yi incorporated within this work three well-known Cantonese tunes, Cantonese instrumental techniques and sonorities, and elements of the shifan luogu, a wind and percussion ensemble often used in traditional Cantonese music. Coming from the same region as the composer, the author of this paper feels connected with this piece, and as a collaborative pianist, has the opportunity to introduce Cantonese music to a wider audience through the piano trio. Chapter one introduces the motivation for this study. Chapter two provides a brief biography of Chen Yi. Chapter three introduces the history, the scales, and the instruments of Cantonese music as well as other Cantonese influences on this trio, especially the three tunes. Chapter four includes a detailed analysis of each movement in terms of the form and application of the tunes and rhythms of Cantonese music. Chapter five shares the author’s experience of approaching and interpreting this piece in an appropriate style based on her Cantonese roots. The conclusion evaluates the significance of the fusion of Cantonese music with Western compositional techniques in this piece.
ContributorsWu, Xuelai (Author) / Campbell, Andrew (Thesis advisor) / DeMars, James (Committee member) / Landschoot, Thomas (Committee member) / Ryan, Russell (Committee member) / Arizona State University (Publisher)
Created2017
Description
Embedded within the regression framework, local models can estimate conditioned relationships between observed spatial phenomena and hypothesized explanatory variables and help infer the intangible spatial processes that contribute to the observed spatial patterns. Rather than investigating averaged characteristics corresponding to processes over space as global models do, these models estimate a surface of spatially varying parameters with a value for each location. Additionally, some models such as variants within the Geographically Weighted Regression (GWR) framework, also estimate a parameter to represent the spatial scale across which the processes vary representing the inherent heterogeneity of the estimated surfaces. Since different processes tend to operate at unique spatial scales, some extensions to local models such as Multiscale GWR (MGWR) estimate unique scales of association for each predictor in a model and generate significantly more information on the nature of geographic processes than their predecessors. However, developments within the realm of local models are fairly nascent and hence an understanding around their correct application as well as recognizing their true potential in exploring fundamental spatial science issues is under-developed. The techniques within these frameworks are also currently limited thus restricting the kinds of data that can be analyzed using these models. Therefore the goal of this dissertation is to advance techniques within local multiscale modeling specifically by coining new diagnostics, exploring their novel application in understanding long-standing issues concerning spatial scale and by expanding the tool base to allow their use in wider empirical applications. This goal is realized through three distinct research objectives over four chapters, followed by a discussion on the future of the developments within local multiscale modeling. A correct understanding of the capability and promise of local multiscale models and expanding the fields where they can be employed will not only enhance geographical research by strengthening the intuition of the nature of geographic processes, but will also exemplify the importance and need for using such tools bringing quantitative spatial science to the fore.
ContributorsSachdeva, Mehak (Author) / Fotheringham, A. Stewart (Thesis advisor) / Goodchild, Michael Frank (Committee member) / Kedron, Peter (Committee member) / Wolf, Levi John (Committee member) / Arizona State University (Publisher)
Created2022
Description
Spatial regression is one of the central topics in spatial statistics. Based on the goals, interpretation or prediction, spatial regression models can be classified into two categories, linear mixed regression models and nonlinear regression models. This dissertation explored these models and their real world applications. New methods and models were proposed to overcome the challenges in practice. There are three major parts in the dissertation.
In the first part, nonlinear regression models were embedded into a multistage workflow to predict the spatial abundance of reef fish species in the Gulf of Mexico. There were two challenges, zero-inflated data and out of sample prediction. The methods and models in the workflow could effectively handle the zero-inflated sampling data without strong assumptions. Three strategies were proposed to solve the out of sample prediction problem. The results and discussions showed that the nonlinear prediction had the advantages of high accuracy, low bias and well-performed in multi-resolution.
In the second part, a two-stage spatial regression model was proposed for analyzing soil carbon stock (SOC) data. In the first stage, there was a spatial linear mixed model that captured the linear and stationary effects. In the second stage, a generalized additive model was used to explain the nonlinear and nonstationary effects. The results illustrated that the two-stage model had good interpretability in understanding the effect of covariates, meanwhile, it kept high prediction accuracy which is competitive to the popular machine learning models, like, random forest, xgboost and support vector machine.
A new nonlinear regression model, Gaussian process BART (Bayesian additive regression tree), was proposed in the third part. Combining advantages in both BART and Gaussian process, the model could capture the nonlinear effects of both observed and latent covariates. To develop the model, first, the traditional BART was generalized to accommodate correlated errors. Then, the failure of likelihood based Markov chain Monte Carlo (MCMC) in parameter estimating was discussed. Based on the idea of analysis of variation, back comparing and tuning range, were proposed to tackle this failure. Finally, effectiveness of the new model was examined by experiments on both simulation and real data.
In the first part, nonlinear regression models were embedded into a multistage workflow to predict the spatial abundance of reef fish species in the Gulf of Mexico. There were two challenges, zero-inflated data and out of sample prediction. The methods and models in the workflow could effectively handle the zero-inflated sampling data without strong assumptions. Three strategies were proposed to solve the out of sample prediction problem. The results and discussions showed that the nonlinear prediction had the advantages of high accuracy, low bias and well-performed in multi-resolution.
In the second part, a two-stage spatial regression model was proposed for analyzing soil carbon stock (SOC) data. In the first stage, there was a spatial linear mixed model that captured the linear and stationary effects. In the second stage, a generalized additive model was used to explain the nonlinear and nonstationary effects. The results illustrated that the two-stage model had good interpretability in understanding the effect of covariates, meanwhile, it kept high prediction accuracy which is competitive to the popular machine learning models, like, random forest, xgboost and support vector machine.
A new nonlinear regression model, Gaussian process BART (Bayesian additive regression tree), was proposed in the third part. Combining advantages in both BART and Gaussian process, the model could capture the nonlinear effects of both observed and latent covariates. To develop the model, first, the traditional BART was generalized to accommodate correlated errors. Then, the failure of likelihood based Markov chain Monte Carlo (MCMC) in parameter estimating was discussed. Based on the idea of analysis of variation, back comparing and tuning range, were proposed to tackle this failure. Finally, effectiveness of the new model was examined by experiments on both simulation and real data.
ContributorsLu, Xuetao (Author) / McCulloch, Robert (Thesis advisor) / Hahn, Paul (Committee member) / Lan, Shiwei (Committee member) / Zhou, Shuang (Committee member) / Saul, Steven (Committee member) / Arizona State University (Publisher)
Created2020
Description
The work of collaborative pianists can vary widely, requiring a large spectrum of musical and foreign language skills. In addition, many non-musical skills are required of collaborative pianists in order to adapt to various types of work, the roles they assume, and the needs of the people they encounter professionally. Collaborative pianists usually develop good habits for survival on the job, but rarely receive preliminary training in capacities such as facilitation, maintaining objectivity in collaboration, asking good questions, and giving feedback effectively. The emerging field of teaching artistry offers a wealth of information for the development of these non-musical skills in collaborative pianists. The skills necessary for teaching artistry and collaborative piano frequently overlap, which is instructive for collaborative pianists as they prepare for their various musical and leadership roles. This paper explores shared practices between these disciplines, how they can enhance the activities of a collaborative pianist, and also help them develop skills as arts advocates. Advocating techniques for new music and audience engagement are addressed, as well as programming, content development and building teams around projects. The idea of the collaborative pianist becoming a teaching artist is also explored, as the diverse activities and experiences of a collaborative pianist can serve as valuable resources. All of these approaches to non-musical skills focus on building strong processes, leading to creative activities that are process-driven rather than product-driven. This study seeks to enrich activities of collaborative pianists through the application of teaching artist capacities and pave pathways for new, more effective professional collaborations.
ContributorsWitt, Juliana (Author) / Campbell, Andrew (Thesis advisor) / Norton, Kay (Committee member) / Ryan, Russell (Committee member) / Swoboda, Deanna (Committee member) / Arizona State University (Publisher)
Created2020