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I am sincerly confused buy this comment. Are you implying DSP & machine learning are not complementary? Don't you need and understanding of DSP in order to ex
by stevehiehn 10y ago
I am sincerly confused buy this comment. Are you implying DSP & machine learning are not complementary? Don't you need and understanding of DSP in order to extract features that can be used to perform machine learning?
- zump 10y agoNot with a neural network...
- stevehiehn 10y agoMy passion/hobby project is to assembly music procedurally with NN. I really cant see a NN being able to extract much meaningfully without billions of perfectly annotated training sets (i dont think they exisit) The only success i've experienced is to first extract features from the amplitues via FFT. From there i can get information like pitches and feed those features into a NN. If i had a large enough training set i would certainly try feeding in raw amplitudes but i have my doubts.
- chillingeffect 10y agoHave you studied chord extraction? I'm hoping modern NNS can help improve this problem.
- stevehiehn 10y agoWell i think about it alot but i havent accomplished much with that. But i really like what you are implying though. If you have all the notes played at a point in time that doesnt mean for know for sure which chord should be played. But a NN could be told the context around it and make a chord classification.
- zeroxfe 10y agoYes, they are independent and complementary. GP has no idea what they're talking about. (I use both DSP and ML heavily for my audio analysis projects.)