Don't go to the river: Build your own stream.
There are a number of research teams working on the problem of skin cancer detection, many of which have near human accuracy within laboratory data sets. There are also a large number of applications released that are used to quantify risk of skin cancer available today. So why am I trying to reinvent the wheel?
It’s kind of this mystical thing, a “hackathon,” to new programmers. It’s something that everybody mentions casually, you technically understand what it is, but it just feels so alien, at least to me. Maybe that’s just my Tennessee showing. Continue reading “CleanBeats.ai: My First Hackathon :)”
So for those of you who don’t know, I work as a student researcher at SAIL, a signal analysis lab at USC. To read more about my work with them, check out my earlier post in which I describe the various ongoing project at the lab.
My current main project, along with my friend Nihar Sheth whose github you can find here, has been the development of a forced alignment algorithm that works for long and/or noisy Continue reading “Canetis: Forced Alignment Post-Game”
Merry Christmas ya’ll. Happy Hanukkah, Happy Kwanzaa, and a Fortuitous Festivus for the rest of us! In the spirit of the holiday, I wanted to give my Mom a little gift.
She’s not the biggest fan of data analytics. I remember one day, we were on the phone and she was telling me this extremely sad story about one of her friends. Her friend was a doctor from the University of Tehran Continue reading “Cool Stuff: Style Transfer”
First round of college exams is now officially over :). I had 3 exams: Calc III, Physics and Computer Science. The grind was on: a friend of mine was in the same Math and Physics class as I was, and every day leading up to our exam, we locked ourselves in a classroom, chalk-boarded up, and ran through every textbook review problem and every past exam available.
Following my last exam, I crashed on the couch and binged a solid 4 hours of Seinfeld with some friends, and flew back home to Memphis the next morning. Following this type of grind, normally I’d give myself a nice break, but, having deprived from my jupyter notebook since exams started, I was itching to build some models. Continue reading “Worksheet Reader: Post-Game”
While the forced aligner for the forensic interview project is being developed, we are looking ahead at what other model we will need to build in order to extract useful features from our interview files. One feature that jumped out Continue reading “Child/Adult Speaker Classifier: Pre-Game”
Hope ya’ll’s day is going well! In my last post, I talk about the lab, SAIL, that I’m working at and an overview of the ongoing projects at the lab. Today, I’m going to talk the specifics of my current role within the Forensic Interview Project.
For those of ya’ll who didn’t get the chance to read my last post, the problem that SAIL is currently trying to solve is the high level of
So as you may have read on the front page, in addition to being an aspiring song-writer and a “stream-builder,” I am also a part of a Machine Learning research lab at USC, specifically the Signal Analysis and Interpretation Lab.
The overarching goal of our lab is essentially to develop new, scalable