( en | de | ru )

 

Disambiguation of "Tomashenko, Natalia A."

Author of the publication

copydeleteadd this publication to your clipboard
Privacy Attacks for Automatic Speech Recognition Acoustic Models in A Federated Learning Framework.

, , , , and . ICASSP, page 6972-6976. IEEE, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Natalia Tomashenko

Natalia Seller

Ichthyosis vulgaris: novel FLG mutations in the German population and high presence of dentritic cells in the epidermis of the atopic subgroup. Uni Münster, (2009)

Natalia Tkatschuk

Natalia Brüggemann

Natalia Pavalenco

 

Other publications of authors with the same name

Recent Advances in End-to-End Spoken Language Understanding., , , , and . SLSP, volume 11816 of Lecture Notes in Computer Science, page 44-55. Springer, (2019)Speaking Rate Estimation Based on Deep Neural Networks., and . SPECOM, volume 8773 of Lecture Notes in Computer Science, page 418-424. Springer, (2014)The Privacy ZEBRA: Zero Evidence Biometric Recognition Assessment., , , , , , , and . INTERSPEECH, page 1698-1702. ISCA, (2020)Investigating Self-Supervised Pre-Training for End-to-End Speech Translation., , , , and . INTERSPEECH, page 1466-1470. ISCA, (2020)Speaker Adaptive Training and Mixup Regularization for Neural Network Acoustic Models in Automatic Speech Recognition., , and . INTERSPEECH, page 2414-2418. ISCA, (2018)An Investigation of Mixup Training Strategies for Acoustic Models in ASR., , , , , , and . INTERSPEECH, page 2903-2907. ISCA, (2018)GMM-derived features for effective unsupervised adaptation of deep neural network acoustic models., and . INTERSPEECH, page 2882-2886. ISCA, (2015)Speaker Verification Using Spectral and Durational Segmental Characteristics., , , and . SPECOM, volume 9319 of Lecture Notes in Computer Science, page 397-404. Springer, (2015)Federated Learning for ASR Based on wav2vec 2.0., , , , and . ICASSP, page 1-5. IEEE, (2023)Curriculum d'apprentissage : reconnaissance d'entités nommées pour l'extraction de concepts sémantiques (Curriculum learning : named entity recognition for semantic concept extraction)., , , , and . PFIA (Articles longs), page 85-98. ATALA, (2019)