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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...71 Hits 1 – 20 of 1.411 1 Hippocampal ensembles represent sequential relationships among an extended sequence of nonspatial events. Shahbaba, Babak; Li, Lingge; Agostinelli, Forest... In: Nature communications, vol 13, iss 1 (2022) BASE Show details 2 Le modèle Transformer: un « couteau suisse » pour le traitement automatique des langues Yvon, François In: Techniques de l'Ingenieur ; https://hal.archives-ouvertes.fr/hal-03619077 ; Techniques de l'Ingenieur, Techniques de l'ingénieur, 2022, ⟨10.51257/a-v1-in195⟩ ; https://www.techniques-ingenieur.fr/base-documentaire/innovation-th10/innovations-en-electronique-et-tic-42257210/transformer-des-reseaux-de-neurones-pour-le-traitement-automatique-des-langues-in195/ (2022) BASE Show details 3 Labour market discrimination and biases in human judgement and Artificial Intelligence ... Patel, Krishane. - : Open Science Framework, 2022 BASE Show details 4 Conditional Adversarial Learning to Enhance Bot Detection ... Διαλεκτάκης, Γεώργιος Ιωάννη. - : Aristotle University of Thessaloniki, 2022 BASE Show details 5 REYD Yiddish TTS Corpus ... Unkn Unknown. - : Centre for Speech Technology Research (CSTR), 2022 BASE Show details 6 Καταστολή ηχητικού θορύβου μέσω τεχνικών μηχανικής μάθησης ... Φιλιππίδης, Σπυρίδων Σταύρου. - : Aristotle University of Thessaloniki, 2022 Abstract: Η παρούσα διπλωματική εργασία αφορά τις τεχνολογίες καταστολής ηχητικού θορύβου, γνωστές και ως αλγόριθμοι βελτίωσης ομιλίας, στις σύγχρονες τηλεπικοινωνίες. Εισαγωγικά, περιγράφονται οι λόγοι που καθιστούν αναγκαία την εξέλιξη τέτοιου είδους συστημάτων, καθώς και οι προκλήσεις στην επίλυση του συγκεκριμένου προβλήματος, που οφείλονται στις φυσικές ιδιότητες του ήχου. Παράλληλα, γίνεται αναφορά στην τεράστια διείσδυση τηλεπικοινωνιακών μέσων και λογισμικού στη σημερινή κοινωνία, όχι μόνο για την επικοινωνία μεταξύ ανθρώπων, αλλά και για την επικοινωνία με ένα πλήθος έξυπνων συσκευών, που ενσωματώνουν τεχνολογίες αυτόματης φωνητικής αναγνώρισης. Στο πρώτο κεφάλαιο, δίνεται ένας ορισμός της έννοιας του θορύβου και αναλύονται οι διαφορετικές μορφές που μπορεί να πάρει στις τηλεπικοινωνίες. Ιδιαίτερη έμφαση δίνεται στη μονοκαναλική καταστολή προσθετικού θορύβου, με σκοπό τη βελτίωση της κατανοησιμότητας του προφορικού λόγου. Ακολουθεί μια σύντομη επισκόπηση των πιο σημαντικών τεχνικών που έχουν εφαρμοστεί τις ... : The present thesis, focuses on noise suppression systems in modern telecommunications, also known as speech enhancement algorithms. In the introduction, the reasons that make such systems necessary are presented, along with the challenges in solving this task, due to the natural properties of sound. In combination with the wide spread of telecommunication hardware and software, speech enhancement not only affects communications among people, but also the interaction with a growing number of smart devices, that incorporate automatic speech recognition capabilities. In the first chapter, a definition of communication noise is presented and its different forms examined. With emphasis on single-channel additive noise suppression, an overview of the most important speech enhancement algorithms of the past few decades is presented. Next, is examined the progress in the field of Artificial Intelligence known as Deep Learning and the development of Artificial Neural Networks, as well as their performance in the ... Keyword: Machine Learning; Neural Networks; Real-Time Denoising; Αποθορυβοποίηση σε πραγματικό χρόνο; Μηχανική Μάθηση; Νευρωνικά Δίκτυα URL: https://dx.doi.org/10.26262/heal.auth.ir.337338 https://ikee.lib.auth.gr/record/337338 BASE Hide details 7 AI for mapping multi-lingual academic papers to the United Nations' Sustainable Development Goals (SDGs) ... Vanderfeesten, Maurice; Jaworek, Robert; Keßler, Lennart. - : Zenodo, 2022 BASE Show details 8 AI for mapping multi-lingual academic papers to the United Nations' Sustainable Development Goals (SDGs) ... Vanderfeesten, Maurice; Jaworek, Robert. - : Zenodo, 2022 BASE Show details 9 AI for mapping multi-lingual academic papers to the United Nations' Sustainable Development Goals (SDGs) ... Vanderfeesten, Maurice; Jaworek, Robert; Keßler, Lennart. - : Zenodo, 2022 BASE Show details 10 AI for mapping multi-lingual academic papers to the United Nations' Sustainable Development Goals (SDGs) ... Vanderfeesten, Maurice; Jaworek, Robert; Keßler, Lennart. - : Zenodo, 2022 BASE Show details 11 VisSE corpus of Spanish SignWriting ... Sevilla, Antonio F. G.; Lahoz-Bengoechea, José María; Esteban, Alberto Díaz. - : Zenodo, 2022 BASE Show details 12 VisSE corpus of Spanish SignWriting ... Sevilla, Antonio F. G.; Lahoz-Bengoechea, José María; Esteban, Alberto Díaz. - : Zenodo, 2022 BASE Show details 13 Characterizing News Portrayal of Civil Unrest in Hong Kong, 1998–2020 ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Giovanna Maria Dora; Bhattacharya, Rohit. - : Underline Science Inc., 2022 BASE Show details 14 Common Phone: A Multilingual Dataset for Robust Acoustic Modelling ... Klumpp, Philipp; Arias-Vergara, Tomás; Pérez-Toro, Paula Andrea. - : Zenodo, 2022 BASE Show details 15 Common Phone: A Multilingual Dataset for Robust Acoustic Modelling ... Klumpp, Philipp; Arias-Vergara, Tomás; Pérez-Toro, Paula Andrea. - : Zenodo, 2022 BASE Show details 16 Generación de textos en ruso mediante técnicas de Aprendizaje Automático para la industria del lenguaje Gregoryev, Mykyta. - : Universitat Politècnica de València, 2022 BASE Show details 17 Combining Bayesian and AI approaches for Autonomous Driving Laugier, Christian In: IROS 2021 - IEEE/RSJ International Conference on Intelligent Robots and Systems - Workshop "Perception and Navigation for Autonomous Robotics in Unstructured and Dynamic Environments" ; https://hal.inria.fr/hal-03518232 ; IROS 2021 - IEEE/RSJ International Conference on Intelligent Robots and Systems - Workshop "Perception and Navigation for Autonomous Robotics in Unstructured and Dynamic Environments", Sep 2021, Prague, Czech Republic (2021) BASE Show details 18 Population modeling with machine learning can enhance measures of mental health Dadi, Kamalaker; Varoquaux, Gaël; Houenou, Josselin... In: ISSN: 2047-217X ; GigaScience ; https://hal.inria.fr/hal-03470466 ; GigaScience, BioMed Central, 2021, ⟨10.1101/2020.08.25.266536⟩ (2021) BASE Show details 19 Sequence-to-Sequence Predictive Model: From Prosody To Communicative Gestures Yunus, Fajrian; Clavel, Chloé; Pelachaud, Catherine In: Proceeding of the 24th International Conference on Human-Computer Interaction ; https://hal.archives-ouvertes.fr/hal-03428910 ; Proceeding of the 24th International Conference on Human-Computer Interaction, 2021 (2021) BASE Show details 20 Library for forecasting time series data from industrial sources ; Creación de una librería para predicción de series temporales de señales industriales Murillo González, Miguel. - : Consejo Superior de Investigaciones Científicas (España), 2021. : Universidad de Cantabria, 2021. : Universidad Internacional Menéndez Pelayo, 2021. : CSIC-UC - Instituto de Física de Cantabria (IFCA), 2021 BASE Show details Page: 1 2 3 4 5...71

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