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- All Subjects: Music
- Creators: Libman, Jeffrey
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
For my honors thesis, I chose a creative project that would incorporate expertise and skills from both of my undergraduate degrees at Arizona State University: Music Performance and Music Theory and Composition. The main goal for this project was to design and experience an artistic process of musical production and create a professional musical work to release on digital platforms. The musical process included five main components: Listening, Transcribing, Composing, Recording, and Post Production. The final product is a full album, titled This is Jam Music, that consists of eight pieces and a run time of 33 minutes.
This project is intended to fill gaps in the professional knowledge of music educators in the state of Arizona concerning the pedagogy, content, and importance of a visual education program in the scholastic marching band. It also aims to contribute to the general pool of knowledge surrounding visual education. While music educators are often expected to begin teaching marching band immediately following their graduation, many do not ever receive proper training in the visual aspect of the marching arts. The marching band is the most visible element of a holistic educational music program, and often represents the school to the community and the educator to their administrators. While significant music training is given at the collegiate level, many educators have not had further experience in the marching arts. The author uses his experience in Drum Corps International, as well as in teaching marching band to synthesize research-based practices into a handbook of immediately applicable visual pedagogical information that would be immediately useful to any music educator.
Using two interviews with local Phoenix professional chamber musicians, this document aims to compare their experiences across musical styles to find common ground and understand the value of chamber music as a professional and educational tool.
Standardization is sorely lacking in the field of musical machine learning. This thesis project endeavors to contribute to this standardization by training three machine learning models on the same dataset and comparing them using the same metrics. The music-specific metrics utilized provide more relevant information for diagnosing the shortcomings of each model.