Tabla to Drumset
Translating Rhythmic Language through Machine Learning
09:40 - 10:00 UTC | Monday 10th November 2025 | Bristol 2
Tabla is known for its complex and expressive rhythms, but what if we could make those patterns playable on a drum kit? This talk introduces a system that listens to tabla performances, classifies each stroke using machine learning, and responds with a drum groove that follows the flow of the original rhythm.
Built with stroke detection, pattern prediction, and cross-instrument mapping, the system acts as a rhythm translator. Instead of copying tabla phrases, it interprets them, helping non-tabla players groove with its unique phrasing and energy.
Whether you are into Indian classical music, drum machines, or creative AI workflows, this talk will show how rhythm can move across traditions and tools, and how machine learning can help bridge that gap.
Shreya Gupta
Free-lance researcher/audio consultant
Audio Machine Learning researcher specialising in Music Information Retrieval (MIR), with four years of prior studio experience as a producer and mix engineer in the Hindi music industry. She is passionate about integerating MIR tools creative music making tools.