Context

BIASlab logo
BIASlab (Fig.1, http://biaslab.org, FLUX-7.060) is a subgroup of the Signal Processing Systems (SPS) that aims to develop Intelligent Autonomous Agents (IA). These agents interact with their environment through their sensors and actuators in order to learn purposeful behavior, e.g., to navigate, play soccer or they may learn to decode speech signals under bad acoustic conditions. Our research projects are inspired by the latest insights from machine learning, computational neuroscience and signal processing.
Project Description

Cocktail party
In this project, you are challenged to design an agent that learns to solve
the cocktail party problem through on-the-spot interactions with a (human)
listener.
Intelligent agent
This project will get you involved with the latest artificial intelligence methods, since the agent needs to (1) learn from each interaction and (2) be smart about selecting the most promising algorithm candidates. It will also give you an opportunity to learn about how biological brains solve real-time design issues.
Timing
Start date: the project is available from September 2017 (or any time thereafter).
Duration: 9 months (fte).
Financial Support

The audio solutions company GN (http://www.gn.com/) may financially support strong candidates (qualifications to be discussed with prof. de Vries) by a GN scholarship.
Contact
For more information about this project, please contact Prof. Bert de Vries (bert.de.vries@tue.nl). Also, feel free to make an appointment to discuss alternative projects with intelligent autonomous agents that you might be interested in.