Paper: Microphone-Independent Robust Signal Processing Using Probabilistic Optimum Filtering

ACL ID H94-1067
Title Microphone-Independent Robust Signal Processing Using Probabilistic Optimum Filtering
Venue Human Language Technologies
Session Main Conference
Year 1994
Authors

A new mapping algorithm for speech recognition relates the fea- tures of simultaneous recordings of clean and noisy speech. The model is a piecewise nonfinear transformation appfied to the noisy speech feature. The transformation is a set of multidimensional linear least-squares filters whose outputs are combined using a conditional Gaussian model. The algorithm was tested using SRI's DECIPHER TM speech recognition system [1-5]. Experimental results show how the mapping is used to reduce recognition errors when the training and testing acoustic environments do not match.