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1
The contextual logic
In: https://hal.archives-ouvertes.fr/hal-03195162 ; 2022 (2022)
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2
Learning and controlling the source-filter representation of speech with a variational autoencoder
In: https://hal.archives-ouvertes.fr/hal-03650569 ; 2022 (2022)
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3
Assessing the impact of OCR noise on multilingual event detection over digitised documents
In: ISSN: 1432-5012 ; EISSN: 1432-1300 ; International Journal on Digital Libraries ; https://hal.archives-ouvertes.fr/hal-03635985 ; International Journal on Digital Libraries, Springer Verlag, 2022, ⟨10.1007/s00799-022-00325-2⟩ (2022)
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4
Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents
In: Advances in Information Retrieval. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II ; https://hal.archives-ouvertes.fr/hal-03635971 ; Matthias Hagen; Suzan Verberne; Craig Macdonald; Christin Seifert; Krisztian Balog; Kjetil Nørvåg; Vinay Setty. Advances in Information Retrieval. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II, 13186, Springer International Publishing, pp.347-354, 2022, Lecture Notes in Computer Science, 978-3-030-99738-0. ⟨10.1007/978-3-030-99739-7_44⟩ (2022)
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5
Can Character-based Language Models Improve Downstream Task Performance in Low-Resource and Noisy Language Scenarios?
In: Seventh Workshop on Noisy User-generated Text (W-NUT 2021, colocated with EMNLP 2021) ; https://hal.inria.fr/hal-03527328 ; Seventh Workshop on Noisy User-generated Text (W-NUT 2021, colocated with EMNLP 2021), Jan 2022, punta cana, Dominican Republic ; https://aclanthology.org/2021.wnut-1.47/ (2022)
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6
Annotation of Morphological Errors in L2 Russian Corpus Analysis
In: 21st Annual Second Language Acquisition and Teaching Interdisciplinary Roundtable ; https://hal.archives-ouvertes.fr/hal-03620469 ; 21st Annual Second Language Acquisition and Teaching Interdisciplinary Roundtable, University of Arizona, Feb 2022, Tucson, United States (2022)
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7
Cross-Situational Learning Towards Robot Grounding
In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
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8
Cross-Situational Learning Towards Robot Grounding
In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
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9
A Methodology for the Comparison of Human Judgments With Metrics for Coreference Resolution
In: HumEval at ACL ; https://hal.archives-ouvertes.fr/hal-03650294 ; HumEval at ACL, May 2022, Dublin, Ireland ; https://humeval.github.io/ (2022)
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10
Can machines learn to see without visual databases?
In: https://hal.archives-ouvertes.fr/hal-03526569 ; 2022 (2022)
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11
Analyzing the impact of speaker localization errors on speech separation for automatic speech recognition
In: EUSIPCO 2020 - 28th European Signal Processing Conference ; https://hal.inria.fr/hal-02355669 ; EUSIPCO 2020 - 28th European Signal Processing Conference, Jan 2021, Amsterdam / Virtual, Netherlands. ⟨10.23919/Eusipco47968.2020.9287541⟩ ; https://eusipco2020.org/ (2021)
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12
A Neural Approach for Detecting Morphological Analogies
In: The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA) ; https://hal.inria.fr/hal-03313556 ; The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2021, Porto/Online, Portugal (2021)
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13
Utterance partitioning for speaker recognition: an experimental review and analysis with new findings under GMM-SVM framework
In: ISSN: 1381-2416 ; EISSN: 1572-8110 ; International Journal of Speech Technology ; https://hal.archives-ouvertes.fr/hal-03232723 ; International Journal of Speech Technology, Springer Verlag, In press, ⟨10.1007/s10772-021-09862-8⟩ (2021)
Abstract: International audience ; The performance of speaker recognition system is highly dependent on the amount of speech used in enrollment and test. This work presents a detailed experimental review and analysis of the GMM-SVM based speaker recognition system in presence of duration variability. This article also reports a comparison of the performance of GMM-SVM classifier with its precursor technique Gaussian mixture model-universal background model (GMM-UBM) classifier in presence of duration variability. The goal of this research work is not to propose a new algorithm for improving speaker recognition performance in presence of duration variability. However, the main focus of this work is on utterance partitioning (UP), a commonly used strategy to compensate the duration variability issue. We have analysed in detailed the impact of training utterance partitioning in speaker recognition performance under GMM-SVM framework. We further investigate the reason why the utterance partitioning is important for boosting speaker recognition performance. We have also shown in which case the utterance partitioning could be useful and where not. Our study has revealed that utterance partitioning does not reduce the data imbalance problem of the GMM-SVM classifier as claimed in earlier study. Apart from these, we also discuss issues related to the impact of parameters such as number of Gaussians, supervector length, amount of splitting required for obtaining better performance in short and long duration test conditions from speech duration perspective. We have performed the experiments with telephone speech from POLYCOST corpus consisting of 130 speakers.
Keyword: [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; Duration Variability; GMM-SVM Classifier; GMM-UMB Classifier; Short Test Utterance; Speaker Recognition; Utterance Partitioning
URL: https://hal.archives-ouvertes.fr/hal-03232723/file/Manuscript_UtterancePartition.pdf
https://hal.archives-ouvertes.fr/hal-03232723/document
https://hal.archives-ouvertes.fr/hal-03232723
https://doi.org/10.1007/s10772-021-09862-8
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14
Preference Aggregation in the Generalised Unavailable Candidate Model
In: 7th International Conference on Algorithmic Decision Theory ; https://hal.sorbonne-universite.fr/hal-03384439 ; 7th International Conference on Algorithmic Decision Theory, University of Toulouse, Nov 2021, Toulouse, France. pp.35-50, ⟨10.1007/978-3-030-87756-9_3⟩ ; https://www.irit.fr/ADT2021/ (2021)
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15
SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents
In: https://hal.archives-ouvertes.fr/hal-03372670 ; 2021 (2021)
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16
Optimizing Word Alignments with Better Subword Tokenization
In: The 18th biennial conference of the International Association of Machine Translation ; https://hal.archives-ouvertes.fr/hal-03322842 ; The 18th biennial conference of the International Association of Machine Translation, Aug 2021, Miami (virtual), United States (2021)
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17
Representation of Explanations of Possibilistic Inference Decisions
In: Symbolic and Quantitative Approaches to Reasoning with Uncertainty ; ECSQARU 2021: European Conference on Symbolic and Quantitative Approaches with Uncertainty ; https://hal-cea.archives-ouvertes.fr/cea-03406884 ; ECSQARU 2021: European Conference on Symbolic and Quantitative Approaches with Uncertainty, Sep 2021, Prague, Czech Republic. pp.513-527, ⟨10.1007/978-3-030-86772-0_37⟩ (2021)
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18
Grounding Language to Autonomously-Acquired Skills via Goal Generation
In: ICLR 2021 - Ninth International Conference on Learning Representation ; https://hal.inria.fr/hal-03121146 ; ICLR 2021 - Ninth International Conference on Learning Representation, May 2021, Vienna / Virtual, Austria (2021)
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19
État de l'art du changement sémantique à partir de plongements contextualisés
In: COnférence en Recherche d'Informations et Applications - CORIA 2021, French Information Retrieval Conference ; https://hal.archives-ouvertes.fr/hal-03320337 ; COnférence en Recherche d'Informations et Applications - CORIA 2021, French Information Retrieval Conference, Apr 2021, Grenoble (virtuel), France (2021)
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20
EVOLEX : la reconnaissance vocale au service du diagnostic des dysfonctionnements langagiers
In: Séminaire AFCP 2021 – Phonétique Clinique ; https://hal-univ-tlse3.archives-ouvertes.fr/hal-03269242 ; Séminaire AFCP 2021 – Phonétique Clinique, May 2021, Toulouse (virtuel), France ; http://www.afcp-parole.org/seminaire-afcp-phonetique-clinique-27-mai-2021/ (2021)
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