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the_javi_himself OP t1_it01l31 wrote

Reply to comment by BruceSwain12 in [R] State of the art audio classification by the_javi_himself

The task that I'm trying to solve is audio based, so I guess my best bet is to focus the search on models specifically built for that. Do you know any of those?

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BruceSwain12 t1_it03jeq wrote

I mean, audio is just the type of data, it is still represented as an ordered series of points. If i remember on the timeseriesclassification.com website you got quite a lot of audio datasets.

For models, you could look at libraires like sktime, convst, tslearn.

If you don't care about speed or interpretability, I would suggest looking at HIVE COTE 2. If you need faster training, ROCKET or RDST/RDST ensemble (in convst), or simply a 1-NN with DTW, which can represent a baseline.

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Mysterious_Tekro t1_itez6wo wrote

Its not about models its about analysis technology. Ive got the latter.

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