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    Florian Kreyssig

    Researcher

    Florian Kreyssig is a researcher currently based in Chicago, Illinois. His research interests primarily focus on active learning, semi-supervised learning, and acoustic modeling. He has been involved in various software projects, including HTK and PyHTK, and has taught courses in signal processing and machine learning.1

    Education and Career

    • Current Position: Researcher (June 2023 - Present)

    • Previous Experience:

      • Research Intern (AI) at Meta (May 2022 - September 2022): Worked on self-supervised learning for speech processing.

      • Research Intern at the University of Cambridge's Department of Engineering (June 2016 - October 2017): Conducted research into neural network acoustic models for automatic speech recognition (ASR), contributing to advancements in HTK's deep learning capabilities.1

    Achievements

    Kreyssig has received several accolades, including the Best Student Paper Award at the IEEE SLT 2021 for his work on "Discriminative Neural Clustering for Speaker Diarisation" and various awards from the University of Cambridge for his academic presentations and projects.1

    Skills and Languages

    Florian is proficient in both German and English, with limited working proficiency in Chinese. His technical skills encompass a range of programming and engineering tasks, particularly in the context of speech recognition and machine learning.1

    Related Questions

    What are Florian Kreyssig's most notable research contributions?
    What projects has Florian Kreyssig worked on at Meta?
    How did Florian Kreyssig's work at the University of Cambridge impact speech recognition technology?
    What awards has Florian Kreyssig received for his research?
    What is Florian Kreyssig's current research focus at the University of Cambridge?
    Florian Kreyssig
    Florian Kreyssig, photo 1
    Florian Kreyssig, photo 2
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    Experience

    Researcher, NLP, Speech, Stats (June 2023 - Present)
    - Research Intern (AI) at Meta (May 2022 - September 2022) - Research Intern | Speech Recognition at Department of Engineering at the University of Cambridge (June 2017 - October 2017) - Research Intern | Speech Recognition at Department of Engineering at the University of Cambridge (June 2016 - September 2016)

    Education

    - Doctor of Philosophy - PhD, Machine Learning at University of Cambridge (2018 - 2023) - Master of Engineering (MEng), Information and Computer Engineering, First Class Honours with Distinction at University of Cambridge (2014 - 2018) - Bachelor of Science (B.Sc.), Electrical and Electronics Engineering, Technische Universität Braunschweig (2013 - 2014)

    Location

    Chicago, Illinois, United States