Hello, the faculty of music at my university in Norway has been granted a lot of money to focus on the use of technology in music and music education. I have been accepted into a position focusing on AI in music. I am first and foremost a musician, so i am working on getting a fundamental grasp on machine learning.
I was wondering if you know of any website or software that can be used to train a signal processing model. The idea being that i can give an unprocessed signal and a processed signal and have mode learn the differences. Like a guitar playing without a distortion pedal and with one. Thank you very much. If there are any misconceptions in my question please help educate me.
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You will probably get better answers at r/LearnMachineLearning. You need some basic neural networks courses for beginning. Then e.g. HuggingFace’s audio processing course, it’s short and high-level, but will be a nice intro. In general you will focus on convolutional networks (CNNs) and processing audio either as 1D signals or 2D images (spectrograms).
Thank you very much! I will check this out :)
There’s a great little course from a few years back here, which you might be able to use for reference. There are also some useful tools with it.
https://www.kadenze.com/courses/machine-learning-for-musicians-and-artists/info
It focuses on relatively simple techniques which should have the advantage of being both accessible and immediate.
Wow thank you very much, this seems like a perfect place to start. Very much appreciated :)
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