This thesis investigates the design and implementation of an object-oriented toolkit for music notation. It considers whether object-oriented technology provides features that are desirable for representing music notation. The ability to sympathetically represent the conventions of music notation provides software tools that are flexible to use, and easily extended to represent less common features of music notation. The design and implementation of an object-oriented class hierarchy that captures the structural and semantic relationships of music notation symbols is described. Functions that search for symbols, and update symbol positions are also implemented. Traditional context-sensitive and spatial relationships between music symbols may be maintained, or extended to provide notational features found in modern music. MIDI functionality includes the ability to play music notation and to allow step-recording of MIDI events. The toolkit has been designed to simplify the creation of applications that make use of music notation; example applications are created to demonstrate its capabilities. / Microsoft Word / Adobe Acrobat 9.46 Paper Capture Plug-in

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In this inquiry, I examined how young children use their personal, social and material resources to solve a music notational task. I asked 13 children, ages 5-9 to notate a song they learned the previous week, sing it back, explain what they did and then teach the song to a classmate the following week. I used Lightfoot and Davis' concept of portraiture as a qualitative research methodology to collect, code, analyze and interpret my data. Data included the children's invented notations and videotaped transcripts of their actions as they created their notations and taught the song to a classmate. Sociocultural Vygotskian developmental theory, activity theory and Bakhtin's dialogic theory provided the interpretive lens through which I examined how the children used their resources as mediational tools to complete the task. / Findings revealed that children who had no previous music training used increasingly sophisticated representational strategies to notate a song, and that they were able to refine their notations when singing the song from their notation, teaching the song or when prompted by an adult or a peer. I concluded that the peer-peer situation was a motivating force for triggering a recursive process of reflections-on-actions and knowing-in-action. Classmates' questions, comments and their singing played a critical role in moving the children to modify their notations and their singing, verbal explanations and gesturing in ways they did not do alone or with me. / Analysis of the children's notations, verbal explanations and teaching strategies provided insights not only into what they knew about music, but also their appropriation of the cultural conventions of writing and their aesthetic sensibilities, as gleaned from their choice of symbols, colours and how they presented their symbols on the page. Interviews with parents, teachers and school principal provided contextual background for interpreting the children's notations and how they approached the task. This study shows the value of adopting a social constructivist approach to teaching the language of music. It also demonstrates that researching the products and processes of children's invented notations from a social constructivist perspective enables more detailed portraits of children's musical and meta-cognitive understandings.

The basic goal of the Adaptive Optical Music Recognition system presented herein is to create an adaptive software for the recognition of musical notation. The focus of this research has been to create a robust framework upon which a practical optical music recognizer can be built. / The strength of this system is its ability to learn new music symbols and handwritten notations. It also continually improves its accuracy in recognizing these objects by adjusting internal parameters. Given the wide range of music notation styles, these are essential characteristics of a music recognizer. / The implementation of the adaptive system is based on exemplar-based incremental learning, analogous to the idea of "learning by example," that identifies unknown objects by their similarity to one or more of the known stored examples. The entire process is based on two simple, yet powerful algorithms: k-nearest neighbour classifier and genetic algorithm. Using these algorithms, the system is designed to increase its accuracy over time as more data are processed.

Thesis (D.M.A.)--Rutgers University, 2010. / "Graduate Program in Music Education." Includes bibliographical references (p. 103-118).

Inaugural-Dissertation. / "Curriculum vitae": p. [68]-[69]

Thesis (Ph. D.)--Columbia University, 1939. / Vita. Published also as Teachers college, Columbia university, Contributions to education, no. 775. Music tests, etc.: [30] p. (variously paged). Bibliography: p. 106-108.

Inaugural-Dissertation. / "Curriculum vitae": p. [68]-[69]

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