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» Using clustering comparison measures for speaker recognition
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LREC
2008
138views Education» more  LREC 2008»
13 years 8 months ago
Bridging the Gap between Linguists and Technology Developers: Large-Scale, Sociolinguistic Annotation for Dialect and Speaker Re
Recent years have seen increased interest within the speaker recognition community in high-level features including, for example, lexical choice, idiomatic expressions or syntacti...
Christopher Cieri, Stephanie Strassel, Meghan Lamm...
ETRA
2010
ACM
160views Biometrics» more  ETRA 2010»
13 years 5 months ago
A vector-based, multidimensional scanpath similarity measure
A great need exists in many fields of eye-tracking research for a robust and general method for scanpath comparisons. Current measures either quantize scanpaths in space (string e...
Halszka Jarodzka, Kenneth Holmqvist, Marcus Nystr&...
INTERSPEECH
2010
13 years 2 months ago
Approaching human listener accuracy with modern speaker verification
Being able to recognize people from their voice is a natural ability that we take for granted. Recent advances have shown significant improvement in automatic speaker recognition ...
Ville Hautamäki, Tomi Kinnunen, Mohaddeseh No...
ICASSP
2011
IEEE
12 years 11 months ago
Calibration and weight of the evidence by human listeners. The ATVS-UAM submission to NIST HUMAN-aided speaker recognition 2010
This work analyzes the performance of speaker recognition when carried out by human lay listeners. In forensics, judges and jurors usually manifest intuition that people is profi...
Daniel Ramos, Javier Franco-Pedroso, Joaquin Gonza...
ICPR
2000
IEEE
13 years 11 months ago
Acoustic and Facial Features for Speaker Recognition
This paper gives an insight into biometrics used for speaker recognition. Three different biometrics are presented, based on: acoustic, geometric lip, and holistic facial features...
Matthew Roach, Jason Brand, John S. Mason