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Cited by
All
Since 2019
Citations
22
22
h-index
3
3
i10-index
1
1
0
10
5
2019
2020
2021
2022
2023
2024
1
1
6
10
4
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Co-authors
Jean-Luc Schwartz
Verified email at gipsa-lab.grenoble-inp.fr
Julien Diard
Laboratoire de Psychologie et NeuroCognition - CNRS
Verified email at univ-grenoble-alpes.fr
Lionel VINCENT
Data scientist at Atos-Bull
Verified email at atos.net
Gael Goret
AI Product Owner at Schneider Electric
Verified email at se.com
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Nabé Mamady
Other names
NABE Mamady
Université Grenoble Alpes
Verified email at univ-grenoble-alpes.fr -
Homepage
Speech perception
Cognitive science
Artificial Intelligence
Optimization
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Year
COSMO-Onset: A Neurally-Inspired Computational Model of Spoken Word Recognition, Combining Top-Down Prediction and Bottom-Up Detection of Syllabic Onsets
M Nabé, JL Schwartz, J Diard
Frontiers in Systems Neuroscience 15, 653975
, 2021
13
2021
Bayesian gates: a probabilistic modeling tool for temporal segmentation of sensory streams into sequences of perceptual accumulators
M Nabé, JL Schwartz, J Diard
44th Annual Conference of the Cognitive Science Society
, 2022
4
2022
Isochronous is beautiful? Syllabic event detection in a neuro-inspired oscillatory model is facilitated by isochrony in speech
M Nabé, J Diard, JL Schwartz
Interspeech 2022, 4671-4675
, 2022
3
2022
Self-optimization strategy for io accelerator parameterization
L Vincent, M Nabe, G Goret
High Performance Computing: ISC High Performance 2018 International …
, 2018
2
2018
COSMO-Onset: un modèle Bayésien de perception de la parole, neuro-inspiré, combinant un traitement bottom-up de l'enveloppe du signal et des prédictions temporelles top-down …
M Nabe
Université Grenoble Alpes
, 2023
2023
COSMO-Onset: a Bayesian, neurally inspired model of speech perception combining bottom-up envelope processing and top-down predictions for syllabic segmentation
M Nabe
Université Grenoble Alpes [2020-....]
, 2023
2023
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