Abstract
An investigation into the relative speaker verification performance of various types of vector quantisation (VQ) and dynamic time warping (DTW) classifiers is presented. The study covers a number of algorithmic issues involved in the above classifiers, and examines the effects of these on the verification accuracy. The experiments are based on the use of a subset from the Brent (telephone quality) speech database. This subset consists of repetitions of isolated digit utterances 1 to 9 and zero. The paper describes the experimental work, and presents an analysis of the results.
| Original language | English |
|---|---|
| Title of host publication | In: Procs of the European Conf on Security and Detection, 1997 ( ECOS'97) |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 142-146 |
| ISBN (Print) | 0-85296-683-0 |
| Publication status | Published - 1997 |
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