Continuous Acoustic Emotion Classification using Recurrent Neural Network
I was invited as speaker to the Remote Brown Bag Sessions which are orginized by Artificial Intelligence Center Hamburg (ARIC). In this talk, I presented our work on Continuous Acoustic Emotion Classification which we could reduce latency and improve the accuracy for critical cases. You can find the list of talks orginized by ARIC here.
Mohammad Ali Zamani
Senior Machine Learning Applied Scientist
I am a Senior Machine Learning Applied Scientist at Hamburg Informatics Technology Center (HITeC) and a Research Associate at University of Hamburg. My research interests include Deep Reinforcement Learning, Computer Vision, Cognitive Robotics and Natural Language Processing.