7 citations · 17 across the 5 of their papers we have counts for
10 papers
Introducing topography in convolutional neural networks
Maxime Poli, Emmanuel Dupoux, Rachid Riad
Parts of the brain that carry sensory tasks are organized topographically: nearby neurons are responsive to the same properties of input signals. Thus, in this work, inspired by th…
Learning strides in convolutional neural networks
Rachid Riad, Olivier Teboul, David Grangier +1
Convolutional neural networks typically contain several downsampling operators, such as strided convolutions or pooling layers, that progressively reduce the resolution of intermed…
Learning spectro-temporal representations of complex sounds with parameterized neural networks
Rachid Riad, Julien Karadayi, Anne-Catherine Bachoud-Lévi +1
Deep Learning models have become potential candidates for auditory neuroscience research, thanks to their recent successes on a variety of auditory tasks. Yet, these models often l…
Comparison of Speaker Role Recognition and Speaker Enrollment Protocol for conversational Clinical Interviews
Rachid Riad, Hadrien Titeux, Laurie Lemoine +6
Conversations between a clinician and a patient, in natural conditions, are valuable sources of information for medical follow-up. The automatic analysis of these dialogues could h…
Vocal markers from sustained phonation in Huntington's Disease
Rachid Riad, Hadrien Titeux, Laurie Lemoine +5
Disease-modifying treatments are currently assessed in neurodegenerative diseases. Huntington's Disease represents a unique opportunity to design automatic sub-clinical markers, ev…
Identification of primary and collateral tracks in stuttered speech
Rachid Riad, Anne-Catherine Bachoud-Lévi, Frank Rudzicz +1
Disfluent speech has been previously addressed from two main perspectives: the clinical perspective focusing on diagnostic, and the Natural Language Processing (NLP) perspective ai…