Presented By
O’Reilly + Intel AI
Put AI to Work
April 15-18, 2019
New York, NY
Andrew Caosun

Andrew Caosun
High School Senior, Horace Mann School

Website

I am senior at Horace Mann School. I’ve been actively involved with Concerts in Motion since middle school, spending Sunday afternoons singing with seniors in nursing homes. I’ve also participated in seasonal events at the Turtle Bay Music School where we raised a music education fund for children from disadvantaged families. The friendships I’ve developed during these events have helped me to understand just how much music can mean to someone. Instead of just listening to someone singing once a week, everyone should be able to create their own music. Thus, I had the idea of combining my love for singing and recent technological advancements to help others compose their own pieces. I developed this research under the guidance of Professor David Gu.

We are among the first to apply a hybrid of HMM and convolutional neural network with LSTM to the music composing. The hybrid approach is further extended to allow users to specify magnitude of revision, duration of music segment to be revised, choice of genres, popularity of songs, and co-creation of songs in social settings. The mobile user interface we designed are intuitive, interactive, and flexible, suitable to the elderly and young children.

Sessions

4:55pm5:35pm Thursday, April 18, 2019
Interacting with AI
Location: Regent Parlor
Secondary topics:  AI case studies, Models and Methods
Andrew Caosun (Horace Mann School)
We propose a framework that unifies Hidden Markov Model and deep learn algorithm (RNN) with modeling components that consider long-term memory and semantics of music (LSTM and Convolution). It takes user original creation as input, modifies the raw scores, and generates musically appropriate melodies. Read more.