ISCA Archive Eurospeech 1997
ISCA Archive Eurospeech 1997

Speaker models designed from complete data sets: a new approach to text-independent speaker verification

Dominik R. Dersch, Robin W. King

In this paper we present a new approach to text independent speaker verification. Speaker models are created from complete data sets, derived from a set of sentences. A decision on an identity claim is based on the calculation of the mean next neighbour distance between a speaker model and a test utterance. A Vector quantization technique serves to efficiently extract this frame based similarity measure. It is the purpose of this paper to investigate this new approach and test its performance on a large database as a function of a number of parameters, i.e., the number of data vectors in each model and the length of the test utterance. The best results on a set of 108 speakers are 0:93% false rejection rate and 0:98% false acceptance rate.


doi: 10.21437/Eurospeech.1997-601

Cite as: Dersch, D.R., King, R.W. (1997) Speaker models designed from complete data sets: a new approach to text-independent speaker verification. Proc. 5th European Conference on Speech Communication and Technology (Eurospeech 1997), 2283-2286, doi: 10.21437/Eurospeech.1997-601

@inproceedings{dersch97_eurospeech,
  author={Dominik R. Dersch and Robin W. King},
  title={{Speaker models designed from complete data sets: a new approach to text-independent speaker verification}},
  year=1997,
  booktitle={Proc. 5th European Conference on Speech Communication and Technology (Eurospeech 1997)},
  pages={2283--2286},
  doi={10.21437/Eurospeech.1997-601},
  issn={1018-4074}
}