8th Annual Conference of the International Speech Communication Association

Antwerp, Belgium
August 27-31, 2007

Robust Distributed Speech Recognition Using Histogram Equalization and Correlation Information

Pedro M. Martinez, Jose C. Segura, Luz Garcia

Universidad de Granada, Spain

In this paper, we propose a noise compensation method for robust speech recognition in DSR (Distributed Speech Recognition) systems based on histogram equalization and correlation information. The objective of this method is to exploit the correlation between components of the feature vector and the temporal correlation between consecutive frames of each component. The recognition experiments, including results in the Aurora 2, Aurora 3-Spanish and Aurora 3-Italian databases, demonstrate that the use of this correlation information increases the recognition accuracy.

Full Paper

Bibliographic reference.  Martinez, Pedro M. / Segura, Jose C. / Garcia, Luz (2007): "Robust distributed speech recognition using histogram equalization and correlation information", In INTERSPEECH-2007, 1058-1061.