Yusuf Subakan, Université Laval

Research

Continual Learning Conversational AI Deep Learning Domain Adaptation Domain Generalization Machine Learning for Signal Processing Machine Learning for Speech and Audio Out-of-domain generalization

Latest funding

Closing the Reality Gap in Machine Learning for Speech and Audio
NSERC · 2023 · Principal investigator
$62,000
Closing the Reality Gap in Machine Learning for Speech and Audio
NSERC · 2023 · Principal investigator
$12,500

All 2 grants and awards

Closing the Reality Gap in Machine Learning for Speech and Audio

Principal investigatorNSERC2023Discovery Grants Program - Individual

Principal investigators: Subakan, Yusuf Cem

Keywords: speech processing; machine learning for speech and audio; machine learning for signal processing; domain generalization; deep learning; conversational ai; out-of-domain generalization; continual learning; domain adaptation; speech enhancement and separation

$62,000

Closing the Reality Gap in Machine Learning for Speech and Audio

Principal investigatorNSERC2023Discovery Launch Supplement

Principal investigators: Subakan, Yusuf Cem

$12,500

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Applying for

Mention their NSERC grant from 2023

Subject: Prospective PhD student: Continual Learning Dear Professor Subakan, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research on continual learning connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Closing the Reality Gap in Machine Learning for Speech and Audio" (2023), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]