Distributed speech enhancement algorithms using a large number of microphones distributed in the environment
To improve the quality and intelligibility of speech processing applications
in noisy environments, it is customary to equip them with a single- or multi-microphone noise reduction algorithm. As multi-microphone noise reduction algorithms can take advantage of spatial diversity, they usually lead to better speech quality and intelligibility than their single-microphone counterparts. It is in particular the number of microphones
and their placement that determine the potential performance of a multi-microphone noise reduction algorithm. However, as most mobile speech processing devices have relatively small dimensions, the number of microphones as well as their placement is rather restricted.
Using so-called wireless acoustic sensor networks (WASNs), it is possible to
use a much larger number of microphones that are distributed in the environment
and where their placement is not restricted by the device itself. This allows
a further increase in noise reduction performance. However, the conventional
multi-microphone noise reduction algorithms are characterized by
having one processor where all data is processed centrally.
In this project, the goal is to develop distributed speech enhancement algorithms for wireless acoustic sensor networks.