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 is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.




            AIhub is supported by:


Related posts :



The Turing Lectures: Can we trust AI? – with Abeba Birhane

Abeba covers biases in data, the downstream impact on AI systems and our daily lives, how researchers are tackling the problem, and more.
21 November 2024, by

Dynamic faceted search: from haystack to highlight

The authors develop and compare three distinct methods for dynamic facet generation (DFG).
20 November 2024, by , and

Identification of hazardous areas for priority landmine clearance: AI for humanitarian mine action

In close collaboration with the UN and local NGOs, we co-develop an interpretable predictive tool to identify hazardous clusters of landmines.
19 November 2024, by

On the Road to Gundag(AI): Ensuring rural communities benefit from the AI revolution

We need to help regional small businesses benefit from AI while avoiding the harmful aspects.
18 November 2024, by

Making it easier to verify an AI model’s responses

By allowing users to clearly see data referenced by a large language model, this tool speeds manual validation to help users spot AI errors.
15 November 2024, by




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association