Egor Lakomkin
TitleCited byYear
The omg-emotion behavior dataset
P Barros, N Churamani, E Lakomkin, H Siqueira, A Sutherland, S Wermter
2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018
242018
Reusing neural speech representations for auditory emotion recognition
E Lakomkin, C Weber, S Magg, S Wermter
arXiv preprint arXiv:1803.11508, 2018
122018
GradAscent at EmoInt-2017: character-and word-level recurrent neural network models for tweet emotion intensity detection
E Lakomkin, C Bothe, S Wermter
arXiv preprint arXiv:1803.11509, 2018
82018
On the Robustness of Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks
E Lakomkin, MA Zamani, C Weber, S Magg, S Wermter
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
62018
Emorl: continuous acoustic emotion classification using deep reinforcement learning
E Lakomkin, MA Zamani, C Weber, S Magg, S Wermter
2018 IEEE International Conference on Robotics and Automation (ICRA), 1-6, 2018
52018
Анализ статистических алгоритмов снятия морфологической омонимии в русском языке
ЕД Лакомкин, ИВ Пузыревский, ДА Рыжова
URL: http://aistconf. org/stuff/aist2013/submissions/aist2013_submission_33. pdf, 2013
32013
Incorporating End-to-End Speech Recognition Models for Sentiment Analysis
E Lakomkin, MA Zamani, C Weber, S Magg, S Wermter
arXiv preprint arXiv:1902.11245, 2019
12019
Combining Articulatory Features with End-to-End Learning in Speech Recognition
L Qu, C Weber, E Lakomkin, J Twiefel, S Wermter
International Conference on Artificial Neural Networks, 500-510, 2018
12018
KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos
E Lakomkin, S Magg, C Weber, S Wermter
arXiv preprint arXiv:1903.00216, 2019
2019
Predictive Auxiliary Variational Autoencoder for Representation Learning of Global Speech Characteristics
S Springenberg, E Lakomkin, C Weber, S Wermter
Proc. Interspeech 2019, 934-938, 2019
2019
Image-to-Text Transduction with Spatial Self-Attention.
S Springenberg, E Lakomkin, C Weber, S Wermter
ESANN, 2018
2018
Automatically augmenting an emotion dataset improves classification using audio
E Lakomkin, C Weber, S Wermter
EACL 2017, 194, 2017
2017
Методы и практики проектирования web-приложений реального времени с использованием технологии Java
ЕД Лакомкин
RSDN Magazine, 34-38, 2012
2012
Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks
E Lakomkin, C Weber, S Magg, S Wermter
MVC web framework based on eXist application server and XRX architecture♣
YGE Lakomkin, S Ionkin, M Davtyan
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Articles 1–15