Technical Reports - Query Results
Your query term was 'number = 2012-17'1 report found
- 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
- 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.