Master 2013 2014
Stages de la spécialité SAR
Development and implementation of a reference system for self-noise- cancelation for a robotic platform

Site :Fraunhofer IDMT, Hearing Speech and Audio Technology
Lieu :Oldenburg, Germany
Encadrant : Danilo Hollosi, Benjamin Cauchi,
Dates :To be determined.
Rémunération :500€ Monthly
Mots-clés : Parcours ATIAM : Traitement du signal


Autonomous robotic platforms for services and help to people with disabilities will become more and more common in the future. Efficient and intuitive interaction between users and platform is an important feature for such. The Fraunhofer Institute for Digital Media Technology, Project Group Hearing, Speech and Audio Technology, develops innovative interfaces based on speech and event recognition. Interfaces based on acoustic input need to be highly robust against noise and reverberation in order to be well accepted by the user. In the case of a robotic platform the disturbances can come from the reverberation of a room and of noise sources within the environment as well as from the noise generated by the robotic platform itself. The aim of this work is to develop a system for the cancellation of self-noise generated by a robotic platform.
-  Localisation and analysis of noise sources - Determination of optimal microphone positions to receive target audio signal and reference noise signals - Literature review of the State-of-the-Art noise reduction methods
-  Choice of noise reduction scheme from the literature, tests using MATLAB and implementation in C
-  Design of test scenarios for the final system.
-  Documentation of the scientific and technical work