Natalia Tomashenko
48
Documents
Affiliations actuelles
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Publications
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Anonymizing Speaker Voices: Easy to Imitate, Difficult to Recognize?ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2024, Seoul, South Korea. pp.12491-12495, ⟨10.1109/ICASSP48485.2024.10445935⟩
Communication dans un congrès
hal-04527700v1
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Retrieving Speaker Information from Personalized Acoustic Models for Speech RecognitionIEEE ICASSP 2022, 2022, Singapour, Singapore
Communication dans un congrès
hal-03539741v1
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Privacy attacks for automatic speech recognition acoustic models in a federated learning frameworkICASSP 2022, 2022, Singapour, Singapore
Communication dans un congrès
hal-03539742v2
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Extraction d'informations liées au locuteur depuis un modèle acoustique personnaliséJEP 2022, Jun 2022, île de Noirmoutier, France
Communication dans un congrès
hal-03706944v1
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LeBenchmark, un référentiel d'évaluation pour le français oral *34e Journées d'étude sur la parole JEP 2022, Jun 2022, île de Noirmoutier, France
Communication dans un congrès
hal-03767742v1
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On speaker verification from the neural network footprint of personalized acoustic modelsJournées d'Études sur la Parole - JEP2022, Jun 2022, Île de Noirmoutier, France
Communication dans un congrès
hal-03626964v1
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Modèles neuronaux pré-appris par auto-supervision sur des enregistrements de parole en françaisJEP 2022, Jun 2022, île de Noirmoutier, France
Communication dans un congrès
hal-03707064v1
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ON-TRAC' systems for the IWSLT 2021 low-resource speech translation and multilingual speech translation shared tasksInternational Conference on Spoken Language Translation (IWSLT), Aug 2021, Bangkok (virtual), Thailand. ⟨10.18653/v1/2021.iwslt-1.20⟩
Communication dans un congrès
hal-03298854v2
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LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from SpeechINTERSPEECH 2021: Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic
Communication dans un congrès
hal-03317730v3
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Speaker Anonymisation Using the McAdams CoefficientInterspeech 2021, Aug 2021, Brno, Czech Republic. pp.1099-1103, ⟨10.21437/Interspeech.2021-1070⟩
Communication dans un congrès
hal-03346206v1
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Anonymous speaker clusters: Making distinctions between anonymised speech recordings with clustering interfaceINTERSPEECH 2021, Aug 2021, Brno, Czech Republic
Communication dans un congrès
hal-03267084v2
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The Privacy ZEBRA: Zero Evidence Biometric Recognition AssessmentInterspeech 2020, Oct 2021, Shanghai, China. pp.1698-1702, ⟨10.21437/Interspeech.2020-1815⟩
Communication dans un congrès
hal-03555630v1
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Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmarkThirty-fifth Conference on Neural Information Processing Systems ( NeurIPS 2021), Dec 2021, on-line, United States
Communication dans un congrès
hal-03407172v1
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Benchmarking and challenges in security and privacy for voice biometricsSPSC 2021, 1st ISCA Symposium on Security and Privacy in Speech Communication, ISCA, Nov 2021, Magdeburg, Germany. ⟨10.21437/SPSC.2021-11⟩
Communication dans un congrès
hal-03346196v1
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Design Choices for X-vector Based Speaker AnonymizationINTERSPEECH 2020, International Speech Communication Association (ISCA), Oct 2020, Shanghai, China
Communication dans un congrès
hal-02610447v2
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ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020Proceedings of the 17th International Conference on Spoken Language Translation, Jul 2020, Seattle, WA, United States. pp.35-43, ⟨10.18653/v1/2020.iwslt-1.2⟩
Communication dans un congrès
hal-02895893v1
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Speech Pseudonymisation Assessment Using Voice Similarity MatricesInterspeech 2020, Oct 2020, Shanghai, China
Communication dans un congrès
hal-02925559v1
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Error analysis applied to end-to end spoken language understanding45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), May 2020, Barcelona, Spain. pp.8514-8518, ⟨10.1109/ICASSP40776.2020.9054455⟩
Communication dans un congrès
hal-02465899v1
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Introducing the VoicePrivacy initiativeINTERSPEECH 2020, Oct 2020, Shanghai, China
Communication dans un congrès
hal-02562199v3
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Investigating Self-supervised Pre-training for End-to-end Speech TranslationInterspeech 2020, Oct 2020, Shangai (Virtual Conf), China
Communication dans un congrès
hal-02962186v1
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Dialogue History Integration into End-to-End Signal-to-Concept Spoken Language Understanding SystemsICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2020, Barcelona, Spain. pp.5, ⟨10.1109/ICASSP40776.2020.9053247⟩
Communication dans un congrès
hal-02551760v1
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Investigating Adaptation and Transfer Learning for End-to-End Spoken Language Understanding from SpeechInterspeech 2019, Sep 2019, Graz, Austria. pp.824-828, ⟨10.21437/Interspeech.2019-2158⟩
Communication dans un congrès
hal-02307811v1
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Curriculum d'apprentissage : reconnaissance d'entités nommées pour l'extraction de concepts sémantiques26e conférence sur le Traitement Automatique des Langues Naturelles (TALN), Jul 2019, Toulouse, France
Communication dans un congrès
hal-02304614v1
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Recent Advances in End-to-End Spoken Language Understanding7th International Conference on Statistical Language and Speech Processing (SLSP), Oct 2019, Ljubljana, Slovenia
Communication dans un congrès
hal-02353011v1
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ON-TRAC Consortium End-to-End Speech Translation Systems for the IWSLT 2019 Shared Task16th International Workshop on Spoken Language Translation 2019, Nov 2019, Hong Kong, China
Communication dans un congrès
hal-02352949v1
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Curriculum-based transfer learning for an effective end-to-end spoken language understanding and domain portability20th Annual Conference of the International Speech Communication Association (InterSpeech), Sep 2019, Graz, Austria. pp.1198-1202, ⟨10.21437/interspeech.2019-1832⟩
Communication dans un congrès
hal-02304597v1
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Speaker Adaptive Training and Mixup Regularization for Neural Network Acoustic Models in Automatic Speech RecognitionInterspeech 2018, Sep 2018, Hyderabad, India. ⟨10.21437/Interspeech.2018-2209⟩
Communication dans un congrès
hal-01870865v1
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An Investigation of Mixup Training Strategies for Acoustic Models in ASRInterspeech 2018, Sep 2018, Hyderabad, India. ⟨10.21437/Interspeech.2018-2191⟩
Communication dans un congrès
hal-01876337v1
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Impact des techniques d'adaptation au locuteur dans l'espace des paramètres pour des modèles acoustiques purement neuronauxXXXIIe Journées d'Etudes sur la Parole, Jun 2018, Aix-en-Provence, France
Communication dans un congrès
hal-01757772v1
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Evaluation of Feature-Space Speaker Adaptation for End-to-End Acoustic ModelsLREC 2018, May 2018, Miyazaki, Japan
Communication dans un congrès
hal-01728526v1
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Fast and Accurate OOV Decoder on High-Level FeaturesINTERSPEECH 2017, Aug 2017, Stockholm, Sweden. ⟨10.21437/Interspeech.2017-1367⟩
Communication dans un congrès
hal-01681375v1
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Exploring GMM-derived Features for Unsupervised Adaptation of Deep Neural Network Acoustic Models18th International Conference on Speech and Computer, 2016, Budapest, Hungary
Communication dans un congrès
hal-01433184v1
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Exploration de paramètres acoustiques dérivés de GMMs pour l'adaptation non supervisée de modèles acoustiques à base de réseaux de neurones profondsJournées d’Études sur la Parole (JEP'16), 2016, Paris, France
Communication dans un congrès
hal-01456899v1
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A New Perspective on Combining GMM and DNN Frameworks for Speaker Adaptation4th International Conference on Statistical Language and Speech Processing - SLSP 2016, 2016, Pilsen, Czech Republic
Communication dans un congrès
hal-01433182v1
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On the Use of Gaussian Mixture Model Framework to Improve Speaker Adaptation of Deep Neural Network Acoustic ModelsInterspeech 2016, 2016, San Francisco (CA, USA), Unknown Region
Communication dans un congrès
hal-01433178v1
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LIUM ASR systems for the 2016 Multi-Genre Broadcast Arabic ChallengeIEEE Workshop on Spoken Language Technology, Dec 2016, San Diego, CA, USA, United States. ⟨10.1109/SLT.2016.7846278⟩
Communication dans un congrès
hal-01433188v1
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The VoicePrivacy 2022 Challenge Evaluation Plan2022
Pré-publication, Document de travail
hal-03623516v2
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Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings2022
Pré-publication, Document de travail
hal-03335126v6
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Exploring Gaussian mixture model framework for speaker adaptation of deep neural network acoustic models2020
Pré-publication, Document de travail
hal-02551714v1
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Multi-lingual Speech to Speech Translation for Under-Resourced LanguagesLe Mans Université. 2022
Rapport
hal-04176910v1
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The VoicePrivacy 2020 Challenge Evaluation Plan[0] LIA - Laboratoire Informatique d'Avignon; MULTISPEECH - Speech Modeling for Facilitating Oral-Based Communication Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery; Eurecom [Sophia Antipolis]; University of Edinburgh. 2020
Rapport
hal-03623450v2
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Speaker adaptation of deep neural network acoustic models using Gaussian mixture model framework in automatic speech recognition systemsNeural and Evolutionary Computing [cs.NE]. Le Mans Université; ITMO University, 2017. English. ⟨NNT : 2017LEMA1040⟩
Thèse
tel-01797231v1
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The Voice Privacy 2024 Challenge Evaluation Plan4th Symposium on Security and Privacy in Speech Communication 2024, Sep 2024, Kos Island, Greece
Document associé à des manifestations scientifiques
hal-04531444v1
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