About Me

Hi! I graduated in Applied Mathematics and Computer Science from Ponts Paristech and obtained with Honors the Master program(MVA) in Computer Vision and Machine Learning at ENS Paris Saclay. I am now between the LSCP and NPI at ENS Paris under the supervision of Pr. Emmanuel Dupoux and Pr. Anne-Catherine Bachoud-Lévi.

Research

Broadly, I’m interested in Speech and Language, Machine Learning, and Cognitive and Clinical Neuropsychology – and trying to make links between all three. My PhD project focuses on the automatic assessment of cognitive, linguistic and emotional disorders, which affect the Speech Production of Huntington Disease patients.

Publications

Vocal markers from sustained phonation in Huntington’s Disease Rachid Riad, Hadrien Titeux, Laurie Lemoine, Justine Montillot, Jennifer Hamet Bagnou, Xuan-Nga Cao, Emmanuel Dupoux, Anne-Catherine Bachoud-Lévi . In Proc. Interspeech 2020, Shangai, China, September 2020. paper/code

Identification of primary and collateral tracks in stuttered speech Rachid Riad, Anne-Catherine Bachoud-Lévi, Frank Rudzicz, Emmanuel Dupoux . In Proc. LREC 2020, Marseille, France, May 2020. paper/code and data coming soon

Seshat: A tool for managing and verifying annotation campaigns of audio data Hadrien Titeux*, Rachid Riad*, Xuan-Nga Cao, Nicolas Hamilakis, Kris Madden, Alejandrina Cristia, Anne-Catherine Bachoud-Lévi, Emmanuel Dupoux . In Proc. LREC 2020, Marseille, France, May 2020. paper/code/documentation

Sampling strategies in siamese networks for unsupervised speech representation learning. Rachid Riad, Corentin Dancette, Julien Karadayi, Neil Zeghidour, Thomas Schatz, and Emmanuel Dupoux. In Proc. Interspeech 2018, Hyderabad, India, September 2018. paper/code/experiments/slides

Learning Word Embeddings: Unsupervised Methods for Fixed-size Representations of Variable-length Speech Segments paper Nils Holzenberger, Mingxing Du, Julien Karadayi, Rachid Riad, and Emmanuel Dupoux. In Proc. Interspeech 2018, Hyderabad, India, September 2018.

Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the” Speaking Rosetta” JSALT 2017 Workshop, paper Odette Scharenborg, Laurent Besacier, Alan Black, Mark Hasegawa-Johnson, Florian Metze, Graham Neubig, Sebastian Stüker, Pierre Godard, Markus Müller, Lucas Ondel, Shruti Palaskar, Philip Arthur, Francesco Ciannella, Mingxing Du, Elin Larsen, Danny Merkx, Rachid Riad, Liming Wang and Emmanuel Dupoux. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2018, Calgary, Alberta, Canada

Software

Together with Corentin Dancette, we developed the third version of the Siamese network toolbox ABnet3 for weakly/unsupervised representation learning of speech signals.

I got all inspiration from a jekyll based resume template. You can find the full source code on GitHub and my version GitHub