Natalia A. Tomashenko

发表

Recent Advances in End-to-End Spoken Language Understanding pdf

Yannick Estève, Emmanuel Morin, Antoine Laurent, 2019, SLSP.

TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptation pdf

Yannick Estève, Natalia A. Tomashenko, François Hernandez, 2018, SPECOM.

LIUM ASR systems for the 2016 Multi-Genre Broadcast Arabic challenge

Yannick Estève, Natalia A. Tomashenko, Anthony Rousseau, 2016, 2016 IEEE Spoken Language Technology Workshop (SLT).

Acoustic Modeling in the STC Keyword Search System for OpenKWS 2016 Evaluation

Aleksei Romanenko, Natalia A. Tomashenko, Maxim Korenevsky, 2017, SPECOM.

GMM-derived features for effective unsupervised adaptation of deep neural network acoustic models

Natalia A. Tomashenko, Yuri Y. Khokhlov, 2015, INTERSPEECH.

Investigating Adaptation and Transfer Learning for End-to-End Spoken Language Understanding from Speech

Yannick Estève, Natalia A. Tomashenko, Antoine Caubrière, 2019, INTERSPEECH.

Speaker Verification Using Spectral and Durational Segmental Characteristics

Natalia A. Tomashenko, Yuri Matveev, Elena Bulgakova, 2015, SPECOM.

Curriculum d'apprentissage : reconnaissance d'entités nommées pour l'extraction de concepts sémantiques (Curriculum learning : named entity recognition for semantic concept extraction)

Yannick Estève, Emmanuel Morin, Antoine Laurent, 2019, PFIA.

Speaker Adaptive Training and Mixup Regularization for Neural Network Acoustic Models in Automatic Speech Recognition

Yannick Estève, Natalia A. Tomashenko, Yuri Y. Khokhlov, 2018, INTERSPEECH.

A Bilingual Kazakh-Russian System for Automatic Speech Recognition and Synthesis

Natalia A. Tomashenko, Sergey Rybin, Valentin Mendelev, 2015, SPECOM.

Fast Algorithm for Automatic Alignment of Speech and Imperfect Text Data

Natalia A. Tomashenko, Yuri Y. Khokhlov, 2013, SPECOM.

Speaking Rate Estimation Based on Deep Neural Networks

Natalia A. Tomashenko, Yuri Y. Khokhlov, 2014, SPECOM.

The STC Keyword Search System for OpenKWS 2016 Evaluation

Aleksei Romanenko, Natalia A. Tomashenko, Maxim Korenevsky, 2017, INTERSPEECH.

Exploring GMM-derived Features for Unsupervised Adaptation of Deep Neural Network Acoustic Models

Yannick Estève, Natalia A. Tomashenko, Anthony Larcher, 2016, SPECOM.

Automated closed captioning for Russian live broadcasting

Natalia A. Tomashenko, Kirill Levin, Alexey Prudnikov, 2014, INTERSPEECH.

On the Use of Gaussian Mixture Model Framework to Improve Speaker Adaptation of Deep Neural Network Acoustic Models

Yannick Estève, Natalia A. Tomashenko, Yuri Y. Khokhlov, 2016, INTERSPEECH.

Fast and Accurate OOV Decoder on High-Level Features pdf

Natalia A. Tomashenko, Ivan Medennikov, Yuri Y. Khokhlov, 2017, INTERSPEECH.

Error Analysis Applied to End-to-End Spoken Language Understanding

Yannick Estève, Emmanuel Morin, Antoine Laurent, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An Investigation of Mixup Training Strategies for Acoustic Models in ASR

Dmitry Popov, Aleksei Romanenko, Natalia A. Tomashenko, 2018, INTERSPEECH.

State Level Control for Acoustic Model Training

Natalia A. Tomashenko, Kirill Levin, Maxim Korenevsky, 2014, SPECOM.

Evaluation of Feature-Space Speaker Adaptation for End-to-End Acoustic Models

Yannick Estève, Natalia A. Tomashenko, N. Tomashenko, 2018, LREC.

A New Perspective on Combining GMM and DNN Frameworks for Speaker Adaptation

Yannick Estève, Natalia A. Tomashenko, Yuri Y. Khokhlov, 2016, SLSP.

Curriculum-based transfer learning for an effective end-to-end spoken language understanding and domain portability

Yannick Estève, Emmanuel Morin, Natalia A. Tomashenko, 2019, INTERSPEECH.

Speaker adaptation of context dependent deep neural networks based on MAP-adaptation and GMM-derived feature processing

Natalia A. Tomashenko, Yuri Y. Khokhlov, N. Tomashenko, 2014, INTERSPEECH.