Egor Lakomkin
Title
Cited by
Cited by
Year
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
362018
Reusing neural speech representations for auditory emotion recognition
E Lakomkin, C Weber, S Magg, S Wermter
arXiv preprint arXiv:1803.11508, 2018
192018
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
112018
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
112018
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
102018
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
72019
Анализ статистических алгоритмов снятия морфологической омонимии в русском языке
ЕД Лакомкин, ИВ Пузыревский, ДА Рыжова
Доклады всероссийской научной конференции АИСТ, 184-196, 2013
52013
Incorporating end-to-end speech recognition models for sentiment analysis
E Lakomkin, MA Zamani, C Weber, S Magg, S Wermter
2019 International Conference on Robotics and Automation (ICRA), 7976-7982, 2019
32019
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
22018
Automatically augmenting an emotion dataset improves classification using audio
E Lakomkin, C Weber, S Wermter
EACL 2017, 194, 2017
22017
Image-to-Text Transduction with Spatial Self-Attention.
S Springenberg, E Lakomkin, C Weber, S Wermter
ESANN, 2018
12018
Predictive Auxiliary Variational Autoencoder for Representation Learning of Global Speech Characteristics.
S Springenberg, E Lakomkin, C Weber, S Wermter
INTERSPEECH, 934-938, 2019
2019
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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