The elephants and the

the elephants and the_team.png
AI Song Contest 2021 / participants

TEAM / The elephants and the
SONG / Circus
TEAM MEMBERS /
Tom Collins, Mark Hanslip, Liam Maloney, Lynette Quek, Jemily Rime, Zongyu (Alex) Yin

LISTEN AND EVALUATE Circus

The lines are now closed. You can no longer vote. Watch the Award Ceremony on July 6 to find out which song wins the AI Song Contest 2021!

 

LYRICS AND MORE ABOUT THIS ENTRY BELOW

 
 

ABOUT THE TEAM

All band members are or have been affiliated with the Music, Science and Technology Research Cluster in the Department of Music at University of York, UK. Tom is a Lecturer (Assistant Professor) in Music Technology, and Co-founder of Music Artificial Intelligence Algorithms, Inc. Liam is an Associate Lecturer with specialisms in sound recording and music production. Lynette is an audiovisual maker from Singapore and recently graduated PhD student from University of York. Mark, Jemily, and Alex are current PhD students. Mark is a saxophonist researching neural networks in the waveform domain. Jemily researches immersive and interactive podcasting, and is a musician and songwriter in her own right. Alex works on neural networks applied to symbolic music representations.

the elephants and the_cover2.png

ABOUT THE SONG

The starting materials for Circus were all generated by AI, including our band name The elephants and the, which gave Jemily the idea to use "circus" as a keyword for the lyrics generation algorithm in the first place. Melodies, chords, baselines, and drum tracks are from the MAIA Markov algorithm, and initial lyrics are from theselyricsdonotexist. Novel aspects of AI this year include the first ever tonal saxophone riff and solo generated in the waveform domain, an algorithm to suggest alternative lyrics based on clips of instrumental audio, and a video also generated largely by AI. The six humans involved in this collaboration had lots of fun in the process, so we hope you enjoy listening and dancing to the result this summer. Let the circus come to town!

ABOUT THE HUMAN-AI CO-CREATION PROCESS

To our knowledge, Circus is the world’s first song with tonal AI riff and solo generated in the waveform domain. We trained a generative adversarial neural network (GAN) on a dataset of saxophone audio recorded by Mark, and used that network to generate sax audio for the song, which we think sounds awesome and novel!

We used the MAIA Markov algorithm to generate melodies, chords, basslines, and drum beats. Lyrics were generated from https://theselyricsdonotexist.com and an in-house neural net developed by Alex that predicts lyrical content given instrumental audio. Lynette explored the StyleGAN algorithm and the Generative Engine by RunwayML to generate image and video materials to go with the song. Additional manipulation to the images were done in Processing, with post-editing for further enhancements. Initially, Jemily explored the lyrics and MAIA Markov material, and devised four clips. We then met as a group for 90 mins on Thu 29th Apr to consider all AI materials and Jemily’s clips, and in that meeting devised the chorus. Jemily and Tom had a subsequent 2-hr songwriting session where we combined more MAIA Markov melodies and lyrics to arrive at a verse, pre-chorus, and middle 8. Jemily and Tom both worked further on their own versions (Jemily’s quite jazzy; Tom’s quite cheesy), and by Mon 3rd May shared those song drafts with Liam to undertake music production activities.

LYRICS

Verse 1

Like a bride at the circus
You and I, a day of sunshine
But the moon was out of town
When a young man joined the circus.

Pre-chorus

Let’s just step out of line
Let’s just stray a moment in time

Chorus

Let the circus come to town, oh oh
Tearing my heart apart, oh oh
It feels good to me
It feels good to me.

Verse 2

While your needs slowly steal my light,
A presence taking over.
Like a cry, night and sight
When my house becomes a circus.

Pre-chorus, Chorus

Middle 8

Life is a roller coaster ride,
One hell of ride though we peak from the bottom.

Chorus

Previous
Previous

Symbiotic Sounds

Next
Next

Thunderboom Records