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The purpose of this project is to create a useful tool for musicians that utilizes the harmonic content of their playing to recommend new, relevant chords to play. This is done by training various Long Short-Term Memory (LSTM) Recurrent Neural Networks (RNNs) on the lead sheets of 100 different jazz standards. A total of 200 unique datasets were produced and tested, resulting in the prediction of nearly 51 million chords. A note-prediction accuracy of 82.1% and a chord-prediction accuracy of 34.5% were achieved across all datasets. Methods of data representation that were rooted in valid music theory frameworks were found to increase the efficacy of harmonic prediction by up to 6%. Optimal LSTM input sizes were also determined for each method of data representation.
My proposed project is an educational application that will seek to simplify the<br/>process of internalizing the chord symbols most commonly seen by those learning<br/>musical improvisation. The application will operate like a game, encouraging the<br/>user to identify chord tones within time limits and award points for successfully<br/>doing so.
This thesis project focused on comparing different aspects of traditional in person<br/>learning and remote online learning and how these two types of learning environments impact<br/>students in the elementary grade levels, specifically Kindergarten through sixth grade. For this<br/>thesis project, I conducted podcast interviews in which I interviewed many different teachers at<br/>different elementary grade levels. These teachers all had experience at some point with both<br/>traditional in person learning and remote online learning. All of these teachers have many<br/>different levels of experience and teach in various districts across the state of Arizona. The<br/>purpose of this thesis project was to learn and understand how these two different types of<br/>learning environments impact both students and teachers. Throughout this thesis project, I have<br/>become increasingly passionate in my future teaching career. I have learned so much about<br/>myself through this process and was able to improve my communication skills through<br/>conducting these interviews as well as significantly increase my knowledge on both in person<br/>learning and remote online learning.