Invited talk - Towards robust self-supervised learning of speech representations
Mirco Ravanelli
2020 Invited talk
in
Workshop: Self-Supervised Learning for Speech and Audio Processing
in
Workshop: Self-Supervised Learning for Speech and Audio Processing
Speaker
Mirco Ravanelli
I received my master's degree in Telecommunications Engineering (full marks and honours) from the University of Trento, Italy in 2011. I then joined the SHINE research group (led by Prof. Maurizio Omologo) of the Bruno Kessler Foundation (FBK), contributing to some projects on distant-talking speech recognition in noisy and reverberant environments, such as DIRHA and DOMHOS.
In 2013 I was visiting researcher at the International Computer Science Institute (University of California, Berkeley) working on deep neural networks for large-vocabulary speech recognition in the context of the IARPA BABEL project (led by Prof. Nelson Morgan).
I received my PhD (with cum laude distinction) in Information and Communication Technology from the University of Trento in December 2017. During my PhD I worked on “deep learning for distant speech recognition”, with a particular focus on recurrent and cooperative neural networks (see my PhD thesis here). In the context of my PhD I recently spent 6 months in the MILA lab led by Prof. Yoshua Bengio.
I'm currently a post-doc researcher at the University of Montreal, working on deep learning for speech recognition in the MILA Lab.
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