Join Us For ADC24 - Bristol - 11-13 November 2024
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Motion and Music Modeling in Hindustani Classical Music - Tejaswinee Kelkar - ADCx India 2024
My talk will summarize of computational generative approaches in North Indian classical music (NICM). NICM presents a unique problem where non-quantization of notes, and the predominant characteristic use of pitch contours to express sonic differentiation means that quantized modeling of, for example, sheet based music goes only so far in being able to shape generative Hindustani music. I will present these approaches of notation based, and character based RNNs for generating Hindustani improvisation.
Generative musical AI in NICM is not really described as a task. However, pre-trained generative music models are modeled after common practise period based western music, and are definitely unsuitable to generate anything in this vocabulary. Sample based generative AI for NICM has, as of this abstract not been a field with separate exploration. Musical AI in NICM is mostly explored form the point of view of modeling raga and raga recognition tasks.
In my previous work, I have addressed how phrase generation models and contour models are perceptually important for tasks such as this. I will present an overview of the state of knowledge in the intersection of these fields and the SOTA of generative techniques in NICM.
Link to Slides: https://data.audio.dev/talks/ADCxIndia/2024/rnns-and-hindustani-music.pdf
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Edited by Digital Medium Ltd - online.digital-medium.co.uk
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Organized and produced by JUCE: https://juce.com/
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Special thanks to the ADC24 Team:
Sophie Carus
Derek Heimlich
Andrew Kirk
Bobby Lombardi
Tom Poole
Ralph Richbourg
Prashant Mishra
#adc #ai #audio #hindustaniclassicalmusic
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