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Description
Despite a quickly growing repertoire list for the brass quintet, the music of the early Argentine tango has remained relatively neglected by brass quintet arrangers and performers. With the goal of bringing a neglected art form to the brass quintet repertoire, three arrangements based on early twentieth century Argentine tango songs are presented here: "Elegante Papirusa" by Tito Roccatagliata, "A La Gran Muñeca" by Jesús Ventura, and "La Cotorrita" by Samuel Castriota. The arrangements follow the style of three early recordings produced by The Victor Talking Machine in 1920 and 1922, as performed by two authentic Argentine orquesta típicas: Orquesta Típica Select and Orquesta Típica Fresedo. A brief history of the style and instrumental evolution of tango music from its influences and origins up until 1920 is discussed, followed by a detailed account of the musicians and circumstances involved in the three early recordings. An explanation of the issues encountered by the author in adapting the early tango style to the brass quintet setting is discussed, along with the solutions realized in order to make the project successful and practical for a moderately advanced brass quintet. The full brass quintet scores are provided as part of the Appendix.
ContributorsCamacho, Gustavo (Musician) (Author) / Ericson, John Q (Thesis advisor) / Pilafian, Samuel (Committee member) / Schuring, Martin (Committee member) / Campbell, Andrew (Committee member) / Rockmaker, Jody (Committee member) / Arizona State University (Publisher)
Created2011
Description
Works for clarinet in the twentieth century exist in abundance; furthermore, the number of extant works from the Classical period is substantial. However, works for solo clarinet in the late-Romantic style are lacking; most of the significant literature for clarinet is contained in orchestral works. Therefore, the purpose of this project is to add to the solo clarinet repertoire of the late Romantic-style through the transcription of works written originally for viola. The four works transcribed for this project are by York Bowen. Bowen was a British composer and pianist who taught at the Royal Academy of Music in England. Although his career flourished in the twentieth century, his music reflects the music of the late-Romantic style. The project includes a transcription of Bowen's Sonata No. 1 in C minor, Op. 18 for viola and piano, Sonata No. 2 in F major, Op. 22 for viola and piano, Romance in D-flat for viola and piano, and Phantasy in F, Op. 54 for viola and piano. Additionally, a brief examination of Bowen's life, an overview of each piece, details regarding transcription parts, a list of changes made to the original part, and a recording of each transcription is included in the document.
ContributorsDeBoer, Andrew Caleb (Author) / Spring, Robert S (Thesis advisor) / Hill, Gary (Committee member) / Norton, Kay (Committee member) / McAllister, Timothy (Committee member) / Stauffer, Sandra (Committee member) / Arizona State University (Publisher)
Created2011
Description
Cerebral palsy (CP) is a non-progressive neurologic disorder characterized by motor pathway damage prior to functional development. Damage to the central nervous system impairs motor functioning, including control of motor movement, loss of coordination, and loss of purposeful posture in individuals with cerebral palsy. This creates abnormal walking gait, impaired balance, and loss of muscle control. Current research shows positive results in studying the use of rhythmic music and walking gait for individuals with neurologic disorders. However, most research focuses on neurologic disorders acquired later in life, such as post-stroke patients and individuals with Parkinson's disease and traumatic brain injuries. The current study addresses the impact of rhythmic music on walking gait for an individual with cerebral palsy. Research addresses whether the use of rhythmic music impacts: (a) endurance (laps, distance traversed, and steps taken) (b) cadence (steps per minute), (c) velocity (distance over time), (d) emotional responsiveness (positive or negative affect), and (e) motivation. The current study is a single subject, mixed method design under randomized treatment conditions. The subject is a 25-year-old female diagnosed with spastic diplegic cerebral palsy. The subject participated in a five-week study, three times a week for one hour each session. Assessment was conducted during the first session. The following 14 sessions included gait training either under treatment (the use of recorded rhythmic music accompanied by audible drum beat) or control (no music) randomly assigned prior to the beginning of the study. Data were collected through video recordings, subject and researcher journals, and emotional responsiveness surveys. Data were analyzed for treatment versus control conditions. Analysis of both quantitative and qualitative data indicated that rhythmic music does impact walking gait for individuals with cerebral palsy. When compared to control conditions, the treatment conditions showed an increase in endurance, cadence, and velocity, and improvement in affect and motivation.
ContributorsTindal, Sevrina (Author) / Crowe, Barbara (Thesis advisor) / Rio, Robin (Committee member) / Stauffer, Sandra (Committee member) / Arizona State University (Publisher)
Created2011
Description
The marimba has garnered increased attention in percussion performance over the past thirty years. Literature for beginners through professionals in a multitude of styles have been written. With the ever-growing number of marimbists since the 1980's there has been a high demand for new works. Numerous pieces were created through commissions: composers contracted to write music by individuals, institutions, and consortia. Three primary types of marimba solo music were written: unaccompanied solos, concerti, and marimba solos with electronic accompaniment. Since electronic music is relatively new in marimba performance, there is very little information published regarding this topic. Only a handful of well-known compositions in this genre have been widely performed, and a great number of existing works are unfamiliar to the percussion world. The goal of this study is to generate an overview of electronic music in marimba performance by compiling a chronological catalog of compositions written for solo marimba with electronics. In addition, this study wishes to promote this genre of solo marimba music through the commission, performance, examination, and recording of a new work for marimba and electronics. It is the author's wish to bring this topic to percussionists' attention, and to enrich the marimba solo literature by both exploring existing literature and encouraging the commissioning and performance of marimba music.
ContributorsChen, Yi-Chia (Author) / Smith, J.B. (Thesis advisor) / Bush, Jeffery (Committee member) / Hackbarth, Glenn (Committee member) / Hill, Gary (Committee member) / Sunkett, Mark (Committee member) / Arizona State University (Publisher)
Created2011
Description
As clarinet compositions created by Taiwanese composers have not been widely discussed and published in academia, this research paper examines three unaccompanied clarinet works by three Taiwanese composers: Ballade by Hsiao-Wen Tseng, Chin Thoughts III by Ling-Huei Tsai, and Pointe de Flame by Chia-Lin Pan, all commissioned by the author in 2007. This research also includes a compact disc with recordings of these works, aiming to document the creativity of Taiwanese composers. This research paper examines these three commissioned works by analyzing their overall musical styles, notations, formal structures, rhythmical and melodic materials, unconventional clarinet techniques as well as the influence of Chinese musical elements. The analysis reveals the distinctive characteristic of each piece. Moreover, the author provides composers' insights and performance guides to help interested readers practice these pieces. To further understand how the composers create these pieces by drawing upon different life experiences, the paper also includes information about their backgrounds, program notes, lists of compositions, and music examples for reference. The author found that collaborating with these composers helped to establish a closer composer-performer relationship in interpreting the music. It is hoped that this compact disc recording will help make Taiwanese composers' clarinet works more accessible to a wider audience. Moreover, this research paper hopes to generate more interest in performing and appreciating music composed by Taiwanese composers.
ContributorsChuang, Yenting (Author) / Spring, Robert (Thesis advisor) / Schuring, Martin (Committee member) / Campbell, Andrew (Committee member) / Jiang, Danwen (Committee member) / Hackbarth, Glenn (Committee member) / Arizona State University (Publisher)
Created2011
Description
This document highlights the increased involvement of “ college boys ” or “ white college boys ” - better-educated middle-class white and light-skinned persons - in steelbands in the late 1940s and early 1950s. Following an introductory overview of the demography of Trinidad and Tobago, the history of Carnival, and the interregnum of the temporary instruments used between the ban of indigenous drums in the 1880s and the invention of the steelpan at the end of the 1930s, this document will examine the history and membership of these college boy bands, with particular emphasis on the Hit Paraders. Two factors that highlight the vital role played by these college boy steelbands are discussed: commercial sponsorship of bands, and support that bands received from the People's National Movement Party. A detailed timeline of steelpan invention and innovations is also included.
ContributorsDeLamater, Elizabeth (Author) / Smith, Jeffery B (Thesis advisor) / Sunkett, Mark (Committee member) / Bush, Jeff (Committee member) / Hackbarth, Glenn (Committee member) / Solís, Ted (Committee member) / Arizona State University (Publisher)
Created2011
Description
Detecting anatomical structures, such as the carina, the pulmonary trunk and the aortic arch, is an important step in designing a CAD system of detection Pulmonary Embolism. The presented CAD system gets rid of the high-level prior defined knowledge to become a system which can easily extend to detect other anatomic structures. The system is based on a machine learning algorithm --- AdaBoost and a general feature --- Haar. This study emphasizes on off-line and on-line AdaBoost learning. And in on-line AdaBoost, the thesis further deals with extremely imbalanced condition. The thesis first reviews several knowledge-based detection methods, which are relied on human being's understanding of the relationship between anatomic structures. Then the thesis introduces a classic off-line AdaBoost learning. The thesis applies different cascading scheme, namely multi-exit cascading scheme. The comparison between the two methods will be provided and discussed. Both of the off-line AdaBoost methods have problems in memory usage and time consuming. Off-line AdaBoost methods need to store all the training samples and the dataset need to be set before training. The dataset cannot be enlarged dynamically. Different training dataset requires retraining the whole process. The retraining is very time consuming and even not realistic. To deal with the shortcomings of off-line learning, the study exploited on-line AdaBoost learning approach. The thesis proposed a novel pool based on-line method with Kalman filters and histogram to better represent the distribution of the samples' weight. Analysis of the performance, the stability and the computational complexity will be provided in the thesis. Furthermore, the original on-line AdaBoost performs badly in imbalanced conditions, which occur frequently in medical image processing. In image dataset, positive samples are limited and negative samples are countless. A novel Self-Adaptive Asymmetric On-line Boosting method is presented. The method utilized a new asymmetric loss criterion with self-adaptability according to the ratio of exposed positive and negative samples and it has an advanced rule to update sample's importance weight taking account of both classification result and sample's label. Compared to traditional on-line AdaBoost Learning method, the new method can achieve far more accuracy in imbalanced conditions.
ContributorsWu, Hong (Author) / Liang, Jianming (Thesis advisor) / Farin, Gerald (Committee member) / Ye, Jieping (Committee member) / Arizona State University (Publisher)
Created2011
Description
Multi-task learning (MTL) aims to improve the generalization performance (of the resulting classifiers) by learning multiple related tasks simultaneously. Specifically, MTL exploits the intrinsic task relatedness, based on which the informative domain knowledge from each task can be shared across multiple tasks and thus facilitate the individual task learning. It is particularly desirable to share the domain knowledge (among the tasks) when there are a number of related tasks but only limited training data is available for each task. Modeling the relationship of multiple tasks is critical to the generalization performance of the MTL algorithms. In this dissertation, I propose a series of MTL approaches which assume that multiple tasks are intrinsically related via a shared low-dimensional feature space. The proposed MTL approaches are developed to deal with different scenarios and settings; they are respectively formulated as mathematical optimization problems of minimizing the empirical loss regularized by different structures. For all proposed MTL formulations, I develop the associated optimization algorithms to find their globally optimal solution efficiently. I also conduct theoretical analysis for certain MTL approaches by deriving the globally optimal solution recovery condition and the performance bound. To demonstrate the practical performance, I apply the proposed MTL approaches on different real-world applications: (1) Automated annotation of the Drosophila gene expression pattern images; (2) Categorization of the Yahoo web pages. Our experimental results demonstrate the efficiency and effectiveness of the proposed algorithms.
ContributorsChen, Jianhui (Author) / Ye, Jieping (Thesis advisor) / Kumar, Sudhir (Committee member) / Liu, Huan (Committee member) / Xue, Guoliang (Committee member) / Arizona State University (Publisher)
Created2011
Description
This dissertation studies routing in small-world networks such as grids plus long-range edges and real networks. Kleinberg showed that geography-based greedy routing in a grid-based network takes an expected number of steps polylogarithmic in the network size, thus justifying empirical efficiency observed beginning with Milgram. A counterpart for the grid-based model is provided; it creates all edges deterministically and shows an asymptotically matching upper bound on the route length. The main goal is to improve greedy routing through a decentralized machine learning process. Two considered methods are based on weighted majority and an algorithm of de Farias and Megiddo, both learning from feedback using ensembles of experts. Tests are run on both artificial and real networks, with decentralized spectral graph embedding supplying geometric information for real networks where it is not intrinsically available. An important measure analyzed in this work is overpayment, the difference between the cost of the method and that of the shortest path. Adaptive routing overtakes greedy after about a hundred or fewer searches per node, consistently across different network sizes and types. Learning stabilizes, typically at overpayment of a third to a half of that by greedy. The problem is made more difficult by eliminating the knowledge of neighbors' locations or by introducing uncooperative nodes. Even under these conditions, the learned routes are usually better than the greedy routes. The second part of the dissertation is related to the community structure of unannotated networks. A modularity-based algorithm of Newman is extended to work with overlapping communities (including considerably overlapping communities), where each node locally makes decisions to which potential communities it belongs. To measure quality of a cover of overlapping communities, a notion of a node contribution to modularity is introduced, and subsequently the notion of modularity is extended from partitions to covers. The final part considers a problem of network anonymization, mostly by the means of edge deletion. The point of interest is utility preservation. It is shown that a concentration on the preservation of routing abilities might damage the preservation of community structure, and vice versa.
ContributorsBakun, Oleg (Author) / Konjevod, Goran (Thesis advisor) / Richa, Andrea (Thesis advisor) / Syrotiuk, Violet R. (Committee member) / Czygrinow, Andrzej (Committee member) / Arizona State University (Publisher)
Created2011
Description
Geography, and the social sciences more broadly, have long operated within what is arguably a paradigm of the visual. Expanding the reach of geographical consideration into the realm of the aural, though in no way leaving behind the visual, opens the discipline to new areas of human and cultural geography invisible in ocular-centric approaches. At its broadest level, my argument in this dissertation is that music can no longer be simply an object of geographical research. Re-conceptualized and re-theorized in a geographical context to take into account its very real, active, and more-than-representational presence in social life, music provides actual routes to geographic knowledge of the world. I start by constructing a theoretical framework and methodological approach for studying music beyond representation. Based on these theoretical and methodological arguments, I present four narratives that unfold at the intersections of race and music in the northeast Brazilian city of Salvador. From the favelas of Rio de Janeiro to the troubled neighborhood of the Pelourinho, from the manic tempos of samba to the laid back grooves of samba-reggae, and in the year-round competition between the oppressive forces of ordinary time and the fleeting possibility of carnival, music emerges as a creative societal force with affects and effects far beyond the realm of representation. Together, these narratives exemplify the importance of expanding geographical considerations beyond a strictly visual framework. These narratives contribute to the musicalization of the discipline of geography.
ContributorsFinn, John C (Author) / McHugh, Kevin (Thesis advisor) / Lukinbeal, Christopher (Committee member) / Bolin, Bob (Committee member) / Price, Patricia (Committee member) / Arizona State University (Publisher)
Created2011