Joint Cohort Normalization in a Multi-Feature Speaker Verification System

@inproceedings{Sanderson2001JointCN,
  title={Joint Cohort Normalization in a Multi-Feature Speaker Verification System},
  author={Conrad Sanderson and Kuldip K. Paliwal},
  booktitle={FUZZ-IEEE},
  year={2001}
}
In this paper we propose a new fusion technique, termed Joint Cohort Normalization Fusion, where the information fusion is done prior to the likelihood ratio test in a speaker verification system. The performance of the technique is compared against two popular types of fusion: feature vector concatenation and expert opinion fusion, for fusion of Mel Frequency Cepstral Coefficients (MFCC), MFCC with Cepstral Mean Subtraction (CMS) and Maximum Auto-Correlation Values (MACV) features. In… CONTINUE READING

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