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timlod | 1 year ago

The title is a bit confusing as open-source separation of ... reads like source separation, which this is not. Rather, it is a pitch detection algorithm which also classifies the instrument the pitch originated with.

I think it's really neat, but the results look like it could take more time to fix the output than using a manual approach (if really accurate results are required).

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earthnail|1 year ago

Thanks for clarifying.

In fairness to the author, he is still at high school: https://matthew-bird.com/about.html

Amazing work for that age.

veunes|1 year ago

He's definitely a talent to watch!

timlod|1 year ago

Wow, I didn't see that. Great to see this level of interest early on!

TazeTSchnitzel|1 year ago

Is “source separation” better known as “stem separation” or is that something else? I think the latter term is the one I usually hear from musicians who are interested in taking a single audio file and recovering (something approximating) the original tracks prior to mixing (i.e. the “stems”).

timlod|1 year ago

Audio Source Separation I think is the general term used in research. It is often applied to musical audio though, where you want to do stem separation - that's source separation where you want to isolate audio stems, a term referring to audio from related groups of signals, e.g. drums (which can contain multiple individual signals, like one for each drum/cymbal).

Earw0rm|1 year ago

Stem separation refers to doing it with audio playback fidelity (or an attempt at that). So it should pull the bass part out at high enough fidelity to be reused as a bass part.

This is a partly solved problem right now. Some tracks and signal types can be unmixed easier than others, it depends on what the sources are and how much post-processing (reverb, side chaining, heavy brick wall limiting and so on)

popalchemist|1 year ago

Source separation is a general term, stem separation is a specific instance of source separation.

emptiestplace|1 year ago

No, it doesn't read like that. The hyphen completely eliminates any possible ambiguity.

ipsum2|1 year ago

The title of the submission was modified. It you read the article it says:

Audio Decomposition [Blind Source Seperation]

croes|1 year ago

Maybe added later by OP? Because there is no hyphen in the article’s subtitle.

>Open source seperation of music into constituent instruments.