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On the potential threat of using large speech corpora for impostor selection in speaker verification
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH.
2000 (English)Conference paper, Published paper (Refereed)
Abstract [en]

In order to evaluate the risk in SV systems one should take into account the possible perpetrator who knows whom he/she is attacking. This paper thus evaluated if a large speech corpus can be used for selecting impostors to use against a speaker verification (SV) system. We tested the possibility by selecting the most similar speakers from a large corpus and then using the recordings in this corpus for impostor attempts against clients in an SV system. Speech samples of the clients uttering words not used in the SV service was used in order to search the large corpus for similar speakers. Recordings of utterances used in the SV service was then collected from these similar speakers and used for impostor attempts. Our conclusion is that this scenario is a threat that needs to be considered by providers of SV systems.

Place, publisher, year, edition, pages
2000. 258-261 p.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-91220OAI: oai:DiVA.org:kth-91220DiVA: diva2:508905
Conference
Sixth International Conference on Spoken Language Processing
Note
NR 20140805Available from: 2012-03-10 Created: 2012-03-10Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf