For example, 2009 musical sound separation based on binary time frequency masking.
Or more recent stuff using deep learning. Also the field generally prefers ratio masks because they lead to better sounding output.
I want to say things were different back when we relied more on human librarians in searching for literature, but unfortunately history is full of cases where people independently discovered the same things as well.
That said, if you are still at the point of inventing new terms for things people have been doing for decades, you are probably being fairly superficial in the area as well.
Research areas like CNN are especially prone to this because it is so much easier to apply the techniques than to understand the problem domain, and it generates a lot of low quality research papers. See also "when all you have is a hammer".
How do you find this?
If you find someone very active in the area and you like the look of their papers, you can always try asking them...
https://academia.stackexchange.com/questions/9602/rediscover...
We figured somebody else had for sure done this and kept searching for different keywords until we picked up a bunch of papers with the correct terminology.