Prashanth Thattai Ravikumar
Staff details
Links
Prashanth's research focuses on enhancing human-AI co-creativity with generative audio and music systems
Research focus on generative audio technologies for AI presence in VR, gaming, and EdTech.
Course Leader for MOOCs, DSP, and computer graphics.
Academic qualifications
- PhD in Human-AI Co-creativity, National University of Singapore 2020
- MA in Communications and New Media, National University of Singapore 2014
- BTech in Computer Science and Engineering, National Institute of Technology, Trichy 2012
Research interests
My academic work focuses on developing efficient software solutions for generative audio research in enhanced human-AI interactions, real-time music creation, and deep neural networks. I specialise in human-AI co-creativity in audio/music - that is, in the creation and analysis of AI-based systems that collaborate with humans to produce content and experiences that could not be realised with either working alone. I'm currently focusing on
developing generative audio technologies for enhancing AI presence in VR, gaming, and EdTech.
My skills include programming in both machine learning and web environments to develop integrated ML-powered web apps. My skills in HCI research include human subjects study design, qualitative and quantitative data methods and associated software for statistical analysis and qualitative coding.
Featured publications
2017:
Notational Communication with Co-creative Systems: Studying Improvements to Musical Coordination
A review of Human-AI communication in interactive sound systems
2019:
MASSE: A System for Music Action Selection Through State Evaluation
Design guidelines and AI-architecture for human-AI music co-creativity
2020:
Engendering co-creative experiences through agent parametric control
Enhancing partnerships in human-AI interactions through musical support and complementarity
2022:
Syntex: parametric audio texture datasets for conditional training of instrumental interfaces.
Simulating datasets for neural network audio research
2020:
Musical analogies and creative variations
Poster on an Ai-architecture to create novel variations of a musical recording
Grants and awards
2022:
Arts X Tech Grant, National Arts Council, Singapore
Awarded $30k by National Arts Council, Singapore to lead the first music technology project.
Professional projects
Web-API for an algorithmic music generation system to compose harmony from gestures: www.harmonaise.com
System for Human-AI musical co-creativity: www.rhythmpartnerstudy.com
Integrated pipeline to enable users to seamlessly simulate big audio datasets: www.syntex.sonicthings.org
COVID-Life, an interactive game based on a 2-D cellular automaton: www.covidlife.com