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Virtual Reality Drum Training System

Description

Can a skill taught in a virtual environment be utilized in the physical world? This idea is explored by creating a Virtual Reality game for the HTC Vive to teach users how to play the drums. The game focuses on

Can a skill taught in a virtual environment be utilized in the physical world? This idea is explored by creating a Virtual Reality game for the HTC Vive to teach users how to play the drums. The game focuses on developing the user's muscle memory, improving the user's ability to play music as they hear it in their head, and refining the user's sense of rhythm. Several different features were included to achieve this such as a score, different levels, a demo feature, and a metronome. The game was tested for its ability to teach and for its overall enjoyability by using a small sample group. Most participants of the sample group noted that they felt as if their sense of rhythm and drumming skill level would improve by playing the game. Through the findings of this project, it can be concluded that while it should not be considered as a complete replacement for traditional instruction, a virtual environment can be successfully used as a learning aid and practicing tool.

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Date Created
2017-12

Once On This Island - An Exploration of Nontraditional Casting

Description

Only in the world of acting can an individual be denied a job simply on the basis of their appearance, and in my thesis, I sought to explore alternatives to this through the concept of nontraditional casting and casting against

Only in the world of acting can an individual be denied a job simply on the basis of their appearance, and in my thesis, I sought to explore alternatives to this through the concept of nontraditional casting and casting against "type", which included the presentation of a full-length production of the musical "Once on this Island" which I attempted to cast based on vocal quality and skill alone rather than taking physical characteristics into account. I researched the history and implementation of nontraditional casting, both in regards to race and other factors such as gender, socio-economic status, and disability. I also considered the legal and intellectual property challenges that nontraditional casting can pose. I concluded from this research that while nontraditional casting is only one solution to the problem, it still has a great deal of potential to create diversity in theater. For my own show, I held the initial auditions via audio recording, though the callback auditions were held in person so that I and my crew could appraise dance and acting ability. Though there were many challenges with our cast after this initial round of auditions, we were able to solidify our cast and continue through the rehearsal process. All things said, the show was very successful. It is my hope that those who were a part of the show, either as part of the production or the audience, are inspired to challenge the concept of typecasting in contemporary theater.

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Created

Date Created
2014-12

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The Use of Music for the Inclusivity of Autistic Children

Description

One obstacle which children with autism spectrum disorders (ASDs) face when learning in a public-school environment is the lack of feeling included when learning. In this study, the term inclusion refers to time that children with ASDs spend in general

One obstacle which children with autism spectrum disorders (ASDs) face when learning in a public-school environment is the lack of feeling included when learning. In this study, the term inclusion refers to time that children with ASDs spend in general education settings, interacting and/or engaging with neurotypical students and teachers. Inclusion can help students with ASDs improve their social skills, as well as academic achievement, mental health, and future success (Camargo et al., 2014). Since children with ASDs often have difficulties with social interaction skills, this can prevent their successful inclusion in general education placements. Music is a type of behaviorally-based intervention, which has proven to be effective in helping students develop the skills necessary to be successfully included, and because it is a type of activity which can serve as a bit of a distraction from the social aspect of the interaction, it can help children practice social skills and interact in a comfortable way. This study examines how music is used in public school settings to help foster the skills necessary for autistic children to be involved in standard school curriculums in order to allow them to receive the full benefits from learning in a general education setting. This study was conducted by reviewing past literature on the benefits of inclusion in special education, the benefits of music for children with ASDs, and the difference in efficacy of music interventions when conducted in an inclusive setting. Interviews with special education teachers, music educators, and music therapists were also conducted to address examples of the impact of music in this research area. The study found that music is beneficial in allowing more students to be included in standard school curriculums, and data showed the trend that inclusion positively affected their social and academic development.

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Created

Date Created
2021-05

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Modeling Surface Brightness of the HH 901 Jets in the Carina Nebula

Description

The purpose of this thesis is to accurately simulate the surface brightness in various spectral emission lines of the HH 901 jets in the Mystic Mountain Formation of the Carina Nebula. To accomplish this goal, we gathered relevant spectral emission

The purpose of this thesis is to accurately simulate the surface brightness in various spectral emission lines of the HH 901 jets in the Mystic Mountain Formation of the Carina Nebula. To accomplish this goal, we gathered relevant spectral emission line data for [Fe II] 12660 Å, Hα 6563 Å, and [S II] 6720 Å to compare with Hubble Space Telescope observations of the HH 901 jets presented in Reiter et al. (2016). We derived the emissivities for these lines from the spectral synthesis code Cloudy by Ferland et al. (2017). In addition, we used WENO simulations of density, temperature, and radiative cooling to model the jet. We found that the computed surface brightness values agreed with most of the observational surface brightness values. Thus, the 3D cylindrically symmetric simulations of surface brightness using the WENO code and Cloudy spectral emission models are accurate for jets like HH 901. After detailing these agreements, we discuss the next steps for the project, like adding an external ambient wind and performing the simulations in full 3D.

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Created

Date Created
2020-05

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Automating Music Composition

Description

The goal of this product was to create a highly customizable application in which any individual, musician or not, can create a harmony for the user’s melody. This Automating Music Composer is built on the underlying rules of music composition,

The goal of this product was to create a highly customizable application in which any individual, musician or not, can create a harmony for the user’s melody. This Automating Music Composer is built on the underlying rules of music composition, rules that are unique for each type of music available. This program is built on rules that are similar to how a Finite State Machine works (Fig 1). Each state represents a different chord in a given key, where the first roman numeral represents the first note in the chord progression. Each transition represents the action that can be taken by the chord progression, or the next note that can be reached by the current note. The user is able to manipulate these rules and styles, adjust different musical parameters to their liking, and is able to input their own melody, which then will output a unique harmony. This product aims to bridge the gap between predictive technologies and musical composition. Allowing the user to be more involved in the composition process helps the program to act as a tool for the user, rather than a separate entity that simply gives the user a completed recording. This allows the user to appreciate and understand what they are helping to produce more than they would if they were to simply be an inactive consumer of a random music composer. This product is meant to feel like an extension of the user, rather than a separate tool.

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Created

Date Created
2020-05

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Last Hymn

Description

Last Hymn was created by the team of Tyler Pinho, Jefferson Le, and Curtis Spence with the desire to create an eccentric Role Playing Game focused on the exploration of a strange, dying world. Battles in the game are based

Last Hymn was created by the team of Tyler Pinho, Jefferson Le, and Curtis Spence with the desire to create an eccentric Role Playing Game focused on the exploration of a strange, dying world. Battles in the game are based off of rhythm games like Dance Dance Revolution using a procedural generation algorithm that makes every encounter unique. This is then complemented with the path system where each enemy has unique rhythm patterns to give them different types of combat opportunities. In Last Hymn, the player arrives on a train at the World's End Train Station where they are greeted by a mysterious figure and guided to the Forest where they witness the end of the world and find themselves back at the train station before they left for the Forest. With only a limited amount of time per cycle of the world, the player must constantly weigh the opportunity cost of each decision, and only with careful thought, conviction, and tenacity will the player find a conclusion from the never ending cycle of rebirth. Blending both Shinto architecture and modern elements, Last Hymn used a "fantasy-chic" aesthetic in order to provide memorable locations and dissonant imagery. As the player explores they will struggle against puzzles and dynamic, rhythm based combat while trying to unravel the mystery of the world's looping time. Last Hymn was designed to develop innovative and dynamic new solutions for combat, exploration, and mapping. From this project all three team members were able to grow their software development and game design skills, achieving goals like improved level design, improved asset pipelines while simultaneously aiming to craft an experience that will be unforgettable for players everywhere.

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Created

Date Created
2016-12

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Hilliker Thesis Paper

Description

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

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.

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Agent

Created

Date Created
2021-12

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Missing Metrics Python Program

Description

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

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.

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Agent

Created

Date Created
2021-12

Comparative Evaluation of Generative Machine Learning Models for Jazz Improvisation using Numerical Metrics

Description

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

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.

Contributors

Agent

Created

Date Created
2021-12