ΑΙhub.org
 

Yaboi Hanoi wins the 2022 AI Song Contest


by
08 July 2022



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 | Yaboi Hanoi
Song | อสุระเทวะชุมนุม (“Asura Deva Choom Noom”) – Enter Demons & Gods
Team member | Lamtharn “Hanoi” Hantrakul

You can listen to the winning song below:
https://soundcloud.com/user-458660217/enter-demons-and-gods?utm_source=clipboard&utm_campaign=wtshare&utm_medium=widget&utm_content=https%253A%252F%252Fsoundcloud.com%252Fuser-458660217%252Fenter-demons-and-gods

What makes this song stand out is that it uses Thai tuning. Most AI models are rooted in Western definitions of melody, harmony and tuning. This means that models can only output notes on the 12-note Western scale, making it very difficult to apply machine learning to music from many musical cultures around the world. In his submission, Lamtharn aimed to demonstrate “how advancements in realtime audio machine learning enable unprecedented audio synthesis with respect to a culture’s native tuning”.

As part of his submission to the contest, Lamtharn wrote a process document describing how he went about using AI methods to aid his composition. He also gives a case study on how he modelled the unique sound of the Phi, a double-reeded instrument integral to Thai culture. You can read more here.

You can also watch a short video where Lamtharn talks about the composition of his song:

You can listen to the submissions from the other entrants here.



tags:


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

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

A model for defect identification in materials

  20 Apr 2026
A new model measures defects that can be leveraged to improve materials’ mechanical strength, heat transfer, and energy-conversion efficiency.

‘Probably’ doesn’t mean the same thing to your AI as it does to you

  17 Apr 2026
Are you sure you and the AI chatbot you’re using are on the same page about probabilities?

Interview with Xinwei Song: strategic interactions in networked multi-agent systems

  16 Apr 2026
Xinwei Song tells us about her research using algorithmic game theory and multi-agent reinforcement learning.

2026 AI Index Report released

  15 Apr 2026
Find out what the ninth edition of the report, which was published on 13 April, says about trends in AI.

Formal verification for safety evaluation of autonomous vehicles: an interview with Abdelrahman Sayed Sayed

  14 Apr 2026
Find out more about work at the intersection of continuous AI models, formal methods, and autonomous systems.

Water flow in prairie watersheds is increasingly unpredictable — but AI could help

  13 Apr 2026
In recent years, the Prairies have seen bigger swings in climate conditions — very wet years followed by very dry ones.

Identifying interactions at scale for LLMs

  10 Apr 2026
Model behavior is rarely the result of isolated components; rather, it emerges from complex dependencies and patterns.

Interview with Sukanya Mandal: Synthesizing multi-modal knowledge graphs for smart city intelligence

  09 Apr 2026
A modular four-stage framework that draws on LLMs to automate synthetic multi-modal knowledge graphs.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence