Theory of everything swooping on Gamakas

[shankarank]

https://sciencefriday.com/segments/visu ... f-vibrato/

Given that the vibrato can be visualized - not too far off before somebody tries it on Gamakas.

There is this free program : http://ab-initio.mit.edu/wiki/index.php/Harminv that talks about similar technique - not sure if this has been tried anywhere.

[uday_shankar]

Given that the vibrato can be visualized -

This is not so useful unless it can close the loop with psychoacoustics and perception. Pulling out low frequencies from a signal is a 2 minute job with a LPF (low pass filter)...anaylzing them further for morphology is endless. In general this researcher, Elaine Chew, is a master (or mistress!) of useless BS.

not too far off before somebody tries it on Gamakas.

A great start has been made in a series of excellent papers by Arvindh Krishnaswamy, then with CCRMA in Stanford more than a decade ago. Not just the shape or spectral content of gamakas but also how it relates to the overall psychoacoustic experience of sound and "intonation" (roughly, pitch perception).

similar technique - not sure if this has been tried anywhere.

Not quite "similar" I think. This is just a more accurate method to extract spectral components of a signal than garden variety FFT (but thanks for the link, who knows when I might find it useful for something!).

The spectral components of sound itself and the vibrato or gamakam features imposed upon it differ by an order of magnitude. For non real-time processing I would do it in two parts 1) a good bandpass/lowpass filter to isolate the low frequencies (0-10Hz) and 2) then analyze shapes, etc...

[raguanu]

@shankarank

Looks interesting. Not sure if this can help to detect gamakams from recordings, but is indeed very interesting from technical point of view. Thanks for sharing.

Ananth Pattabi
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[shankarank]

There are more developments on the subject and this time some music samples are included:

https://physicsworld.com/a/can-we-use-q ... ake-music/

https://www.youtube.com/watch?v=wL0RlYIl-QM&t=405s