ΑΙhub.org
 

Winner of the 2021 AI Song Contest announced!

by
08 July 2021



share this:
AI song contest logo

On 6 July, the organisers of the AI Song Contest revealed the winner of this year’s competition. The accolade goes to…

Team | M.O.G.I.I.7.E.D.
Song | Listen to Your Body Choir
Team members | Jon Gillick, Max Savage, Matt Sims, Brodie Jenkins

You can listen to the winning song below:

The team wrote here about their song, and how they used AI in the composition process. The song is based on Daisy Bell (composed by Harry Dacre in 1892), which was the first song to be sung by a computer. The team used language model GPT-2 to generate the lyrics, and recurring neural networks (RNN) to create the melody, other samples, and drum loops.

The announcement was made during a live session, which you can watch below:




Lucy Smith , Managing Editor for AIhub.
Lucy Smith , Managing Editor for AIhub.




            AIhub is supported by:


Related posts :



AIhub monthly digest: January 2023 – low-resource language projects, Earth’s nightlights and a Lanfrica milestone

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
31 January 2023, by

The Good Robot Podcast: featuring Abeba Birhane

In this episode, Eleanor and Kerry talk to Abeba Birhane about changing computing cultures.
30 January 2023, by

All questions answered: how CLAIRE shapes the future of AI in Europe

Watch the next in the series of CLAIRE's All Questions Answered (AQuA) events.
27 January 2023, by

UrbanTwin: seeing double for sustainability

A digital twin for urban infrastructure: assessing the effectiveness of climate-related policies and actions.
26 January 2023, by

Counterfactual explanations for land cover mapping: interview with Cassio Dantas

Cassio tells us about work applying counterfactual explanations to remote sensing time series data for land-cover mapping classification.
25 January 2023, by





©2021 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association