3 papers
cs.CL2019
Incorporating End-to-End Speech Recognition Models for Sentiment Analysis
Egor Lakomkin, Mohammad Ali Zamani, Cornelius Weber +2
Previous work on emotion recognition demonstrated a synergistic effect of combining several modalities such as auditory, visual, and transcribed text to estimate the affective stat…
cs.RO2018
On the Robustness of Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks
Egor Lakomkin, Mohammad Ali Zamani, Cornelius Weber +2
Speech emotion recognition (SER) is an important aspect of effective human-robot collaboration and received a lot of attention from the research community. For example, many neural…
cs.RO2018
EmoRL: Continuous Acoustic Emotion Classification using Deep Reinforcement Learning
Egor Lakomkin, Mohammad Ali Zamani, Cornelius Weber +2
Acoustically expressed emotions can make communication with a robot more efficient. Detecting emotions like anger could provide a clue for the robot indicating unsafe/undesired sit…