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An Articulatory-Based Singing Voice Synthesis Using Tongue and Lips Imaging
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In: Interspeech 2016 ; ISCA Interspeech 2016 ; https://hal.archives-ouvertes.fr/hal-01529630 ; ISCA Interspeech 2016, Sep 2016, San Francisco, United States. pp.1467 - 1471, ⟨10.21437/Interspeech.2016-385⟩ (2016)
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A Deep Learning Approach to Text Simplification
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In: Senior Projects Spring 2016 (2016)
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Paralinguistic Speech Recognition: Classifying Emotion in Speech with Deep Learning Neural Networks
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In: Senior Projects Spring 2016 (2016)
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CNN-based phone segmentation experiments in a less-represented language
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In: Proceedings of INTERSPEECH 2016 Volume 2 ; 17th Annual Conference of the International Speech Communication Association (INTERSPEECH 2016) ; https://hal.archives-ouvertes.fr/hal-01500519 ; 17th Annual Conference of the International Speech Communication Association (INTERSPEECH 2016), Sep 2016, San Francisco, United States. pp. 3549-3553 (2016)
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Multimodal Emotion Recognition for AVEC 2016 Challenge
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In: Audio/Visual Emotion Challenge ; https://hal.archives-ouvertes.fr/hal-01837203 ; Audio/Visual Emotion Challenge, ACM, Oct 2016, Amsterdam, Netherlands (2016)
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МЕТОД ПОГРУЖЕНИЯ ЗАДАЧИ СРАВНЕНИЯ ФИНАНСОВОГО СОСТОЯНИЯ ПРЕДПРИЯТИЙ В ЭКСПЕРТНУЮ ОБОЛОЧКУ В КЛАССЕ АЛГОРИТМОВ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА
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БУХАРИН С.В.; МОЛОЧАЕВА О.С.; ХОРЕВ А.И.. - : Федеральное государственное образовательное учреждение высшего образования «Воронежский государственный университет инженерных технологий», 2016
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Scaling Properties of Dimensionality Reduction for Neural Populations and Network Models
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Projection Interlingue d'Étiquettes pour l'Annotation Sémantique Non Supervisée
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In: Actes de la conférence conjointe JEP-TALN-RECITAL ; TALN 2016 ; https://hal.archives-ouvertes.fr/hal-01350117 ; TALN 2016, Jul 2016, Paris, France (2016)
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Recurrent Neural Network for Syntax Learning with Flexible Predicates for Robotic Architectures
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In: The Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB) ; https://hal.inria.fr/hal-01417697 ; The Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Sep 2016, Cergy, France ; http://icdl-epirob.org/ (2016)
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In the fog: Neural correlates of psychiatric symptoms in mixed neurodegenerative and depressed populations
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Gola, Kelly. - : eScholarship, University of California, 2016
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In: Gola, Kelly. (2016). In the fog: Neural correlates of psychiatric symptoms in mixed neurodegenerative and depressed populations. UC Santa Cruz: Psychology. Retrieved from: http://www.escholarship.org/uc/item/2784q7mv (2016)
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Recurrent Neural Network Sentence Parser for Multiple Languages with Flexible Meaning Representations for Home Scenarios
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In: IROS Workshop on Bio-inspired Social Robot Learning in Home Scenarios ; https://hal.inria.fr/hal-01417667 ; IROS Workshop on Bio-inspired Social Robot Learning in Home Scenarios, Oct 2016, Daejon, South Korea ; https://www.informatik.uni-hamburg.de/wtm/SocialRobotsWorkshop2016/index.php (2016)
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Abstract:
International audience ; We present a Recurrent Neural Network (RNN), namely an Echo State Network (ESN), that performs sentence comprehension and can be used for Human-Robot Interaction (HRI). The RNN is trained to map sentence structures to meanings (i.e. predicates). We have previously shown that this ESN is able to generalize to unknown sentence structures in English and French. The flexibility of the predicates it can learn to produce enables one to use the model to explore language acquisition in a developmental approach. This RNN has been encapsulated in a ROS module which enables one to use it in a cognitive robotic architecture. Here, for the first time, we show that it can be trained to learn to parse sentences related to home scenarios with higly flexible predicate representations and variable sentence structures. Moreover we apply it to various languages, including some languages that were never tried with the architecture before, namely German and Spanish. We conclude that the representations are not limited to predicates, other type of representations can be used.
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Keyword:
[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]; [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]; [SCCO.LING]Cognitive science/Linguistics; [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences; echo state networks; home robotics; human-robot interaction; knowledge representation; language acquisition; recurrent neural network; reservoir computing; thematic role assignment
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URL: https://hal.inria.fr/hal-01417667/file/iros_ws_home_scen_2016.pdf https://hal.inria.fr/hal-01417667 https://hal.inria.fr/hal-01417667/document
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New Recurrent Neural Network Variants for Sequence Labeling
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In: ISSN: 0302-9743 ; Lecture Notes in Computer Science ; 17th International Conference on Intelligent Text Processing and Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01489955 ; 17th International Conference on Intelligent Text Processing and Computational Linguistics, Apr 2016, Konya, Turkey (2016)
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Cognitive responsive e-assessment of constructive e-learning ...
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Multiplex lexical networks reveal patterns in early word acquisition in children ...
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Convolutional Neural Networks for Named Entity Recognition in Images of Documents
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van de Kerkhof, Jan. - : KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. : -, 2016
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Speech enhancement based on neural networks applied to cochlear implant coding strategies
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Speech enhancement for hearing-impaired listeners using deep neural networks with auditory-model based features
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Ανάλυση συναισθήματος από κείμενο με τεχνικές μηχανικής μάθησης και χρήση λεξικού ...
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Predicting behavioral preferences in language use from electrophysiological activity ...
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Biologically inspired methods in speech recognition and synthesis: closing the loop ...
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