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State-of-the-art acoustic models for Automatic Speech Recognition (ASR) are based on Hidden Markov Models (HMM) and Deep Neural Networks (DNN) and often require thousands of hours of transcribed speech data during training. Therefore, building multilingual ...
Le béton textile est un nouveau matériau qui combine les propriétés d’une armature non-métallique coulés dans une matrice à base de ciment à haute résistance. C’est un matériau performant tant pour ses qualités structurelles qu’en terme d’application en dé ...
Competitive state-of-the-art automatic pathological speech intelligibility measures typically rely on regression training on a large number of features, require a large amount of healthy speech training data, or are applicable only to phonetically balanced ...
Il collage non è più una semplice rappresentazione del progetto architettonico o un discorso per immagini destinato a rimanere confinato al formato dell'architettura ‘di carta’. Nell'era digitale, il collage è diventato uno strumento decisivo nel processo ...
Le premier article d’une revue est toujours le plus difficile à écrire. Que doit-on y mettre ? Qui doit écrire ? Doit-on mettre des résultats de recherche prometteurs, une vision programmatique et stratégique de la revue qui se lance ? Doit-on citer les au ...
We propose the Recursive Non-autoregressive Graph-to-graph Transformer architecture (RNG-Tr) for the iterative refinement of arbitrary graphs through the recursive application of a non-autoregressive Graph-to-Graph Transformer and apply it to syntactic dep ...
Impaired speech intelligibility in motor speech disorders arising
due to neurological diseases negatively affects the communication
ability and quality of life of patients. Reliable and cost-effective
measures to automatically assess speec ...
Pre-training complex language models is essential for the success of the recent methods such as BERT or OpenAI GPT. Their size makes not only the pre-training phase, but also consecutive applications to be computationally expensive. BERT-like models excel ...
HMMs have been the one of the first models to be applied for sign recognition and have become the baseline models due to their success in modeling sequential and multivariate data. Despite the extensive use of HMMs for sign recognition, determining the HMM ...
This article introduces the task of visual question answering for remote sensing data (RSVQA). Remote sensing images contain a wealth of information, which can be useful for a wide range of tasks, including land cover classification, object counting, or de ...
