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OFAI-TR-2012-17 ( 281kB PDF file)

The Relation of Hubs to the Doddington Zoo in Speaker Verification

Dominik Schnitzer, Arthur Flexer, Jan Schlueter

In speaker verification systems there exists the well-known phenomenon of speakers which are very problematic to verify and have been given various metaphoric animal names. Our work connects this so-called 'Doddington zoo' and the animals of the whole 'biometric menagerie' to the problem of 'hubs' in high dimensional data spaces, which was recently the topic of a number of publications in the machine learning literature. Due to a general problem of measuring distances in high dimensional data spaces, hub objects emerge which have a high similarity to a large number of data items. This is a novel aspect of the 'curse of dimensionality' which adversely affects classification and identification performance. In a series of experiments we try to understand the 'Doddington zoo' problem with respect to the notions of hubs and anti-hubs.

Keywords: Speaker Verification, Hubs, Normalization, Machine Learning

Citation: Schnitzer D., Flexer A., Schlüter J.: The Relation of Hubs to the Doddington Zoo in Speaker Verification. Technical Report, Proceedings of the 21st European Signal Processing Conference (EUSIPCO'2013), September 9-13, Marrakech, Morocco, 2013.