Natalia A. Tomashenko
Orcid: 0000-0002-7125-2382
According to our database1,
Natalia A. Tomashenko
authored at least 57 papers
between 2013 and 2024.
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Bibliography
2024
Evaluating the effects of task design on unfamiliar Francophone listener and automatic speaker identification performance.
Multim. Tools Appl., January, 2024
2023
IEEE ACM Trans. Audio Speech Lang. Process., 2023
LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech.
CoRR, 2023
Language-independent speaker anonymization using orthogonal Householder neural network.
CoRR, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
IEEE ACM Trans. Audio Speech Lang. Process., 2022
Comput. Speech Lang., 2022
Language-Independent Speaker Anonymization Approach Using Self-Supervised Pre-Trained Models.
Proceedings of the Odyssey 2022: The Speaker and Language Recognition Workshop, 28 June, 2022
Analyzing Language-Independent Speaker Anonymization Framework under Unseen Conditions.
Proceedings of the Interspeech 2022, 2022
Proceedings of the Interspeech 2022, 2022
Privacy Attacks for Automatic Speech Recognition Acoustic Models in A Federated Learning Framework.
Proceedings of the IEEE International Conference on Acoustics, 2022
Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech.
CoRR, 2021
Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmark.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
ON-TRAC' systems for the IWSLT 2021 low-resource speech translation and multilingual speech translation shared tasks.
Proceedings of the 18th International Conference on Spoken Language Translation, 2021
Anonymous Speaker Clusters: Making Distinctions Between Anonymised Speech Recordings with Clustering Interface.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
<i>LeBenchmark</i>: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
2020
Exploring Gaussian mixture model framework for speaker adaptation of deep neural network acoustic models.
CoRR, 2020
ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020.
Proceedings of the 17th International Conference on Spoken Language Translation, 2020
Proceedings of the Interspeech 2020, 2020
Proceedings of the Interspeech 2020, 2020
Proceedings of the Interspeech 2020, 2020
Proceedings of the Interspeech 2020, 2020
Dialogue History Integration into End-to-End Signal-to-Concept Spoken Language Understanding Systems.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
ON-TRAC Consortium End-to-End Speech Translation Systems for the IWSLT 2019 Shared Task.
CoRR, 2019
Curriculum d'apprentissage : reconnaissance d'entités nommées pour l'extraction de concepts sémantiques (Curriculum learning : named entity recognition for semantic concept extraction).
Proceedings of the Actes de la Conférence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Volume I : Articles longs, 2019
Proceedings of the Statistical Language and Speech Processing, 2019
Investigating Adaptation and Transfer Learning for End-to-End Spoken Language Understanding from Speech.
Proceedings of the Interspeech 2019, 2019
Curriculum-Based Transfer Learning for an Effective End-to-End Spoken Language Understanding and Domain Portability.
Proceedings of the Interspeech 2019, 2019
2018
TED-LIUM 3: Twice as Much Data and Corpus Repartition for Experiments on Speaker Adaptation.
Proceedings of the Speech and Computer - 20th International Conference, 2018
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018
Speaker Adaptive Training and Mixup Regularization for Neural Network Acoustic Models in Automatic Speech Recognition.
Proceedings of the Interspeech 2018, 2018
Proceedings of the Interspeech 2018, 2018
2017
Speaker adaptation of deep neural network acoustic models using Gaussian mixture model framework in automatic speech recognition systems. (Utilisation de modèles gaussiens pour l'adaptation au locuteur de réseaux de neurones profonds dans un contexte de modélisation acoustique pour la reconnaissance de la parole).
PhD thesis, 2017
Proceedings of the Speech and Computer - 19th International Conference, 2017
Proceedings of the Interspeech 2017, 2017
Proceedings of the Interspeech 2017, 2017
2016
Exploration de paramètres acoustiques dérivés de GMM pour l'adaptation non supervisée de modèles acoustiques à base de réseaux de neurones profonds (Exploring GMM-derived features for unsupervised adaptation of deep neural network acoustic models).
Proceedings of the Actes de la conférence conjointe JEP-TALN-RECITAL 2016. Volume 1 : JEP, 2016
Exploring GMM-derived Features for Unsupervised Adaptation of Deep Neural Network Acoustic Models.
Proceedings of the Speech and Computer - 18th International Conference, 2016
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016
Proceedings of the Statistical Language and Speech Processing, 2016
On the Use of Gaussian Mixture Model Framework to Improve Speaker Adaptation of Deep Neural Network Acoustic Models.
Proceedings of the Interspeech 2016, 2016
2015
Proceedings of the Speech and Computer - 17th International Conference, 2015
Proceedings of the Speech and Computer - 17th International Conference, 2015
GMM-derived features for effective unsupervised adaptation of deep neural network acoustic models.
Proceedings of the INTERSPEECH 2015, 2015
2014
Proceedings of the Speech and Computer - 16th International Conference, 2014
Proceedings of the Speech and Computer - 16th International Conference, 2014
Speaker adaptation of context dependent deep neural networks based on MAP-adaptation and GMM-derived feature processing.
Proceedings of the INTERSPEECH 2014, 2014
Proceedings of the INTERSPEECH 2014, 2014
2013
Proceedings of the Speech and Computer - 15th International Conference, 2013