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Evaluation of Tacotron Based Synthesizers for Spanish and Basque
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In: Applied Sciences; Volume 12; Issue 3; Pages: 1686 (2022)
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| 2 |
CCG Supertagging as Top-down Tree Generation
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In: Proceedings of the Society for Computation in Linguistics (2021)
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| 3 |
Vowel Harmony Viewed as Error-Correcting Code
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In: Proceedings of the Society for Computation in Linguistics (2021)
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| 4 |
Generating Adversarial Examples for Topic-dependent Argument Classification
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In: COMMA 2020 - 8th International Conference on Computational Models of Argument ; https://hal.archives-ouvertes.fr/hal-02933266 ; COMMA 2020 - 8th International Conference on Computational Models of Argument, Sep 2020, Perugia, Italy (2020)
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| 7 |
Automatic word count estimation from daylong child-centered recordings in various language environments using language-independent syllabification of speech
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| 8 |
Complexity of Stability
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In: Leibniz International Proceedings in Informatics, 181 ; 31st International Symposium on Algorithms and Computation (ISAAC 2020) (2020)
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| 9 |
NAT: Noise-Aware Training for Robust Neural Sequence Labeling
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In: Fraunhofer IAIS (2020)
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| 10 |
VoiceHome-2, an extended corpus for multichannel speech processing in real homes
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In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.inria.fr/hal-01923108 ; Speech Communication, Elsevier : North-Holland, 2019, 106, pp.68-78. ⟨10.1016/j.specom.2018.11.002⟩ (2019)
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| 11 |
Towards Interpretability and Robustness of Machine Learning Models
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Chen, Jianbo. - : eScholarship, University of California, 2019
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| 12 |
Assessing the Robustness of Conversational Agents using Paraphrases
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| 13 |
Robust speech recognition for german and dialectal broadcast programmes
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In: Fraunhofer IAIS (2018)
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| 14 |
Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition
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Abstract:
Online handwritten Chinese text recognition (OHCTR) is a challenging problem as it involves a large-scale character set, ambiguous segmentation, and variable-length input sequences. In this paper, we exploit the outstanding capability of path signature to translate online pen-tip trajectories into informative signature feature maps, successfully capturing the analytic and geometric properties of pen strokes with strong local invariance and robustness. A multi-spatial-context fully convolutional recurrent network (MC-FCRN) is proposed to exploit the multiple spatial contexts from the signature feature maps and generate a prediction sequence while completely avoiding the difficult segmentation problem. Furthermore, an implicit language model is developed to make predictions based on semantic context within a predicting feature sequence, providing a new perspective for incorporating lexicon constraints and prior knowledge about a certain language in the recognition procedure. Experiments on two standard benchmarks, Dataset-CASIA and Dataset-ICDAR, yielded outstanding results, with correct rates of 97.50% and 96.58%, respectively, which are significantly better than the best result reported thus far in the literature.
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Keyword:
Context modeling; Feature extraction; Handwritten Chinese text recognition; Hidden Markov models; implicit language model; multiple spatial contexts; path signature; residual recurrent network; Robustness; Semantics; Text recognition; Trajectory
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URL: https://doi.org/10.1109/TPAMI.2017.2732978
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| 15 |
Lightweight Spoken Utterance Classification with CFG, tf-idf and Dynamic Programming
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In: ISBN: 978-3-319-68455-0 ; Statistical Language and Speech Processing (SLSP) pp. 143-154 (2017)
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| 16 |
A French corpus for distant-microphone speech processing in real homes
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In: Interspeech 2016 ; https://hal.inria.fr/hal-01343060 ; Interspeech 2016, Sep 2016, San Francisco, United States (2016)
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| 17 |
Reconnaissance automatique de gestes manuels en langue des signes
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In: RFIA 2016 ; RFIA'16: Le vingtième congrès national sur la Reconnaissance des Formes et l'Intelligence Artificielle ; https://hal.archives-ouvertes.fr/hal-01332141 ; RFIA'16: Le vingtième congrès national sur la Reconnaissance des Formes et l'Intelligence Artificielle , Jun 2016, Clermont-Ferrand, France (2016)
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| 18 |
Investigation of Back-off Based Interpolation Between Recurrent Neural Network and N-gram Language Models (Author's Manuscript)
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| 19 |
Lexicographic α-robustness: an application to the 1-median problem
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