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- All Subjects: Jazz
- All Subjects: Songs (High voice) with piano
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.
In the early history of jazz, many of the songs that were popularized by jazz musicians became known as jazz standards, and these songs remain a central component of the jazz repertoire today. Many of these jazz standards were adapted from early Broadway musicals and revues. Rodgers and Hammerstein's Oklahoma! is widely considered to be the most significant musical in the history of Broadway theater. Its innovative blending of song, dance, and a cohesive dramatic story has profoundly influenced the structure of Broadway musicals to this day. However, none of the songs from this show have risen to the status of a jazz standard, and many appear to have not been adapted to the jazz idiom at all. In my Barrett Honors creative project, I have reimagined and arranged nine songs from the original Rodgers and Hammerstein production. I then led a jazz quintet through two months of rehearsals, culminating in a performance of the work for my senior jazz performance recital. A link to the performance at the ASU School of Music Recital Hall is included here: https://www.youtube.com/watch?v=jeOs4muj12M
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.
Four Songs of Love (from the sonnets of W.S.) (14’) for tenor (or high baritone) and piano.


Analysis of data revealed that participants engaged with music when outside of school by practicing, teaching, gigging, recording, playing music with others, attending live musical performances, socializing with other musicians, listening, and engaging with non-jazz musical styles (aside from listening). They engaged with music because of: 1) the love of music, 2) the desire for musical excellence, 3) financial considerations, 4) the aspiration to affect others positively with music, and 5) the connection with other musicians. Participants indicated that they learned by practicing, listening to recordings, attending live performances, playing paid engagements, socializing, teaching, and reading. In-school and out-of-school experience and learning had substantial but not complete overlap.
The study implies that a balance between in-school and out-of-school musical experience may help undergraduate jazz studies students to maximize their overall musical learning. It also suggests that at least some jazz studies majors are fluent in a wide variety of music learning practices that make them versatile, flexible, and employable musicians. Further implications are provided for undergraduate jazz students as well as collegiate jazz educators, the music education profession, and schools of music. Additional implications concern future research and the characterization of jazz study in academia.
