Search Results for author: Rachid Riad

Found 11 papers, 7 papers with code

Introducing topography in convolutional neural networks

1 code implementation28 Oct 2022 Maxime Poli, Emmanuel Dupoux, Rachid Riad

Thus, in this work, inspired by the neuroscience literature, we proposed a new topographic inductive bias in Convolutional Neural Networks (CNNs).

Inductive Bias

Learning strides in convolutional neural networks

1 code implementation ICLR 2022 Rachid Riad, Olivier Teboul, David Grangier, Neil Zeghidour

In particular, we show that introducing our layer into a ResNet-18 architecture allows keeping consistent high performance on CIFAR10, CIFAR100 and ImageNet even when training starts from poor random stride configurations.

Image Classification

Learning spectro-temporal representations of complex sounds with parameterized neural networks

1 code implementation12 Mar 2021 Rachid Riad, Julien Karadayi, Anne-Catherine Bachoud-Lévi, Emmanuel Dupoux

We found out that models based on Learnable STRFs are on par for all tasks with different toplines, and obtain the best performance for Speech Activity Detection.

Action Detection Activity Detection +2

Comparison of Speaker Role Recognition and Speaker Enrollment Protocol for conversational Clinical Interviews

no code implementations30 Oct 2020 Rachid Riad, Hadrien Titeux, Laurie Lemoine, Justine Montillot, Agnes Sliwinski, Jennifer Hamet Bagnou, Xuan Nga Cao, Anne-Catherine Bachoud-Lévi, Emmanuel Dupoux

Here, we proposed a split of the data that allows conducting a comparative evaluation of speaker role recognition and speaker enrollment methods to solve this task.

Vocal markers from sustained phonation in Huntington's Disease

1 code implementation9 Jun 2020 Rachid Riad, Hadrien Titeux, Laurie Lemoine, Justine Montillot, Jennifer Hamet Bagnou, Xuan Nga Cao, Emmanuel Dupoux, Anne-Catherine Bachoud-Lévi

According to our regression results, Phonatory features are suitable for the predictions of clinical performance in Huntington's Disease.


Identification of primary and collateral tracks in stuttered speech

no code implementations LREC 2020 Rachid Riad, Anne-Catherine Bachoud-Lévi, Frank Rudzicz, Emmanuel Dupoux

Here, we introduce a new evaluation framework for disfluency detection inspired by the clinical and NLP perspective together with the theory of performance from \cite{clark1996using} which distinguishes between primary and collateral tracks.

Sampling strategies in Siamese Networks for unsupervised speech representation learning

2 code implementations30 Apr 2018 Rachid Riad, Corentin Dancette, Julien Karadayi, Neil Zeghidour, Thomas Schatz, Emmanuel Dupoux

We apply these results to pairs of words discovered using an unsupervised algorithm and show an improvement on state-of-the-art in unsupervised representation learning using siamese networks.

Representation Learning

XNMT: The eXtensible Neural Machine Translation Toolkit

1 code implementation WS 2018 Graham Neubig, Matthias Sperber, Xinyi Wang, Matthieu Felix, Austin Matthews, Sarguna Padmanabhan, Ye Qi, Devendra Singh Sachan, Philip Arthur, Pierre Godard, John Hewitt, Rachid Riad, Liming Wang

In this paper we describe the design of XNMT and its experiment configuration system, and demonstrate its utility on the tasks of machine translation, speech recognition, and multi-tasked machine translation/parsing.

Machine Translation NMT +3

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