Submitted by Stencolino t3_11etyex in MachineLearning
I need model that can just differentiate when someone is talking normaly or singing. Is there any trained AI that does that?
Comments
currentscurrents t1_jag9v2w wrote
Can I? I don't have a cluster of 10x A100s.
All the interesting stuff in ML seems to require expensive hardware. I guess it'll be cool in 5-10 years when consumer hardware catches up.
blablanonymous t1_jagadpr wrote
I mean if you have a serious use case you can do it on cloud platforms. I imagine you could do some transfer learning or fine tuning using a pre trained model
currentscurrents t1_jagavxg wrote
I can't afford to rent 10x A100s on cloud platforms for very long either,
Pretrained models are pretty great though. Most of my use cases are not particularly unique; models are the software libraries of the future.
kduyehj t1_jah1cry wrote
Maybe you don’t need a model. Try Fourier analysis to analyse in the frequency domain. Look at the distributions and do something like Kullback–Leibler divergence to measure your sample distribution against a singing-reference, and against a talking-reference.
[deleted] t1_jah7ias wrote
Stencolino OP t1_jaj8jqw wrote
I tought about it, it should be simple enough but I was just wondering if there was one already made
Stencolino OP t1_jaj8ue6 wrote
Thanks, ill think about it
keph_chacha t1_jag33wh wrote
you can build one