this is a great guide. i wish more writing on the Internet has this blend of substance, message, tone, and grit.
How to read and understand a scientific paper: a guide for non-scientists
61–63 of 63 posts
Re: How to read and understand a scientific paper: a guide for non-scientists
#62I would like to have a digest or an overview written for a IT practitioner. I did go SC/IT conference and enjoyed the talks and I noticed 2 things: 1/ You learn new things and new approach that can bring value to our job 2/ It seems that the research sector discover stuff that are already known in the industry.
I think it would be great to have a journal/blog that would construct a bridge between the industry and the university.
Re: How to read and understand a scientific paper: a guide for non-scientists
#63About identifying "The Big Question", I have a story from my days as a graduate student, where I failed to do so.
I was asked to help on a project that needed to identify humans in an audio stream. During my literature review, I came across the field of "Voice Activity Detection" or VAD, which concerns itself with identifying where in an audiosignal a human voice / speech is present (as opposed to what the speech is).
I implemented several algorithms from the literature and tested it on the primary tests sets referenced in papers and spend a few months on this until I finally asked myself "What would happen if I gave my algorithm an audiostream of a dog barking?"
The barking was identified as "voice".
As it turns out, the "Big Question" in Voice Activity Detection is not to find human voices (or any voices), but to figure out when to pass on high-fidelity signals from phone calls. So the algorithms tend to only care about audio segments that are background noise and segments that are not background noise.