As someone who goes to college to study data engineering this year, I'd say it's a quite impressive collection but I have no idea where to start (readme.md is empty). I hope it will be a useful resource in the future.
OP here; check this out for some context about the papers and to help you prioritize what to read first (look under Readings, the links are to the papers): http://kevincrook.com/ucb/ucb_w205_2017_fall.html
There is also more recent material, with different and more recent readings that you might also be interested in, but I prefer 2017, which is what I linked to above, seems more thorough and deeper: http://kevincrook.com/ucb/ucb.html
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[ 2.9 ms ] story [ 26.1 ms ] threadYou may also want to have a look at the awesome slides: http://kevincrook.com/ucb/slides/UCB_W205_Student_Slides.zip
There is also more recent material, with different and more recent readings that you might also be interested in, but I prefer 2017, which is what I linked to above, seems more thorough and deeper: http://kevincrook.com/ucb/ucb.html
[1] https://github.com/wq2012/awesome-diarization
[2] https://github.com/terryum/awesome-deep-learning-papers