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Influence of noise and voice activity detection on speaker verification

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

The scope of this paper is to check influence of voice activity detection VAD procedure and its accuracy on speaker verification error rates. It is shown that for speech of high quality, it is absolutely necessary to remove silence from the signal as the errors increase radically. It is better to remove more than less from the signal as the equal error rate EER is the worst for the original speech with silence. Additionally influence of white noise, which was added to speech utterances, was examined. Presented results show that in order to achieve highly reliable speaker verification system it must be insensitive to low quality of speech, since noise is the most important factor responsible for high error rates.

Original languageEnglish
Title of host publicationComputer Networks - 23rd International Conference, CN 2016, Proceedings
EditorsPiotr Gaj, Andrzej Kwiecień, Piotr Stera
PublisherSpringer Verlag
Pages207-215
Number of pages9
ISBN (Print)9783319392066
DOIs
Publication statusPublished - 2016
Event23rd International Conference on Computer Networks, CN 2016 - Brunów, Poland
Duration: 14 Jun 201617 Jun 2016

Publication series

NameCommunications in Computer and Information Science
Volume608
ISSN (Print)1865-0929

Conference

Conference23rd International Conference on Computer Networks, CN 2016
Country/TerritoryPoland
CityBrunów
Period14/06/1617/06/16

Keywords

  • Biometrics
  • Security
  • Speaker verification
  • Voice activity Detection

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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