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jasondraether/README.md

👋 Howdy! I’m Jason Raether. I am a Master of Science in Computer Science (with Thesis) student at Texas A&M University. I have a B.S. in Computer Engineering and a minor in Psychology from the University of Illinois at Urbana-Champaign. I am currently a researcher at the HUBBS Lab at TAMU, where I focus on affective computing, biofeedback devices, and machine learning. We're seeking to create technology-driven solutions for alleviating public speaking anxiety.

I have experience in a wide variety of domains, but I'm mainly interested in building scalable artificial intelligence systems that interface with human users via speech, video, or other bio-behavioral signals. I have experience working with these multi-modal systems in my research at TAMU, and I've tackled some of the problems of working with big data and large-scale problems with Amazon Alexa Shopping NLU.

📫 You can reach me at jasondraether@gmail.com or message me directly on LinkedIn https://www.linkedin.com/in/jason-raether-7b1742109/

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  1. GMM-diarisation GMM-diarisation Public

    Speaker-diarisation task on two speakers in a podcast using Gaussian Mixture Models

    Python 1

  2. Emotion-Recognition Emotion-Recognition Public

    D-CNN emotion recognition with RAVDESS Emotion Speech Dataset

    Python

  3. SPOT-Logo-Recognition SPOT-Logo-Recognition Public

    Image processing algorithm using matched filters to detect BIG TEN logos in an image

    Python

  4. MFCC-Calculation MFCC-Calculation Public

    Computing Mel-Frequency Ceptrsal Coefficients from scratch

    Python

  5. Mechabytes-Vision Mechabytes-Vision Public

    Computer Vision recognition algorithm for iRobotics Mechabytes

    C++