Improving speaker identification in noise by subband processing and decision fusion

Authors:
R. I. Damper;J. E. Higgins
Affiliations:
Image, Speech and Intelligent Systems (ISIS) Research Group, Department of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK;Image, Speech and Intelligent Systems (ISIS) Research Group, Department of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK
Venue:
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Year:
2003

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Abstract

We investigate speaker identification in narrowband noise using subband processing. The output of each subband is used to train and test individual hidden Markov models (HMMs), each making a preliminary decision on speaker identity. Subsequently, these are combined to produce a final decision. For sufficient numbers of filters, subband processing outperforms traditional wideband techniques by an enormous margin.