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KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos



Egor Lakomkin , Sven Magg , Cornelius Weber , Stefan Wermter

* Accepted at the Conference on Empirical Methods in Natural Language Processing 2018, Brussels, Belgium 

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Incorporating End-to-End Speech Recognition Models for Sentiment Analysis



Egor Lakomkin , Mohammad Ali Zamani , Cornelius Weber , Sven Magg , Stefan Wermter

* Accepted at the 2019 International Conference on Robotics and Automation (ICRA) will be held on May 20-24, 2019 in Montreal, Canada 

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On the Robustness of Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks



Egor Lakomkin , Mohammad Ali Zamani , Cornelius Weber , Sven Magg , Stefan Wermter

* Submitted to IROS'18, Madrid, Spain 

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EmoRL: Continuous Acoustic Emotion Classification using Deep Reinforcement Learning



Egor Lakomkin , Mohammad Ali Zamani , Cornelius Weber , Sven Magg , Stefan Wermter

* Accepted to the IEEE International Conference on Robotics and Automation (ICRA'18), Brisbane, Australia, May 21-25, 2018 

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GradAscent at EmoInt-2017: Character- and Word-Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection



Egor Lakomkin , Chandrakant Bothe , Stefan Wermter


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Reusing Neural Speech Representations for Auditory Emotion Recognition



Egor Lakomkin , Cornelius Weber , Sven Magg , Stefan Wermter


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Automatically augmenting an emotion dataset improves classification using audio



Egor Lakomkin , Cornelius Weber , Stefan Wermter


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