Description
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.
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Contributors
- Rangaswami, Sriram Madhav (Author)
- Lalitha, Sankar (Thesis director)
- Jayasuriya, Suren (Committee member)
- Electrical Engineering Program (Contributor)
- Barrett, The Honors College (Contributor)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2021-05
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