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Chevalier de Saint-Georges, the brilliant swordsman, unequalled equestrian, athlete, dancer, violin virtuoso, composer and orchestral conductor is, and remains a singularly unique historical figure of the 18th century French Court of Louis XVI. Believed to be the first man of mixed race to compose classical music, Saint-Georges, who was frequently invited to the court at Versailles to make music with Marie Antoinette not only thrived, but excelled during the height of an appalling slave trade and one of the most explosive periods in European history: the French Revolution. Saint-Georges’ ever evolving talent, and without preamble composed six operas. This research document will introduce to the reader important milestones that influenced the direction of his life, as well as a survey of two arias and duet from the opera L’Amant Anonyme using the paradigm of dance metrics as described in “Rhythmic Gesture in Mozart, Le Nozze di Figaro and Don Giovanni,” by Wye Jamison Allanbrook and “Classical Music, Expression, Form and Style” by Leonard Ratner.
The first part of this study is a biographical sketch of Weill’s life and music. It is intended to provide context for the three songs by tracing his beginnings as a German composer of stage works with volatile political messages, to his flight to the United States and his emergence as a composer of Broadway successes.
The second part is a commentary on the composition of the three selected songs. The lyrics and musical content are examined to show how Weill’s settings convey the dramatic mood and meaning as well as the specific nuances of the words. Description of the context of these songs explains how they were textually and musically intended to advance the plot and the emotional arc of the dramatic characters. The popularity of these songs endures beyond their original shows, and so there is discussion of how other artists have adapted and performed them, and available recordings are cited.
Weill’s songs, his little masterpieces, have proven to be truly evocative and so attractive to American audiences that they have undergone myriad adaptations. This study seeks to provide the personal and historical background of Kurt Weill’s music and to demonstrate why these three songs in particular have proven to have such lasting appeal.
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.