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Speaker verification performance evaluation based on open source speech processing software and TIMIT speech corpus

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

11 Citations (Scopus)

Abstract

Creating of speaker recognition application requires advanced speech processing techniques realized by specialized speech processing software. It is very possible to improve the speaker recognition research by using speech processing platform based on open source software. The article presents the example of using open source speech processing software to perform speaker verification experiments designed to test various speaker recognition models based on different scenarios. Speaker verification efficiency was evaluated for each scenario using TIMIT speech corpus distributed by Linguistic Data Consortium. The experiment results allowed to compare and select the best scenario to build speaker model for speaker verification application.

Original languageEnglish
Title of host publicationComputer Networks - 22nd International Conference, CN 2015, Proceedings
EditorsPiotr Gaj, Andrzej Kwiecien, Piotr Stera
PublisherSpringer Verlag
Pages400-409
Number of pages10
ISBN (Print)9783319194189
DOIs
Publication statusPublished - 2015
Event22nd International Conference on Computer Networks, CN 2015 - Brunow, Poland
Duration: 16 Jun 201519 Jun 2015

Publication series

NameCommunications in Computer and Information Science
Volume522
ISSN (Print)1865-0929

Conference

Conference22nd International Conference on Computer Networks, CN 2015
Country/TerritoryPoland
CityBrunow
Period16/06/1519/06/15

Keywords

  • Open source software
  • Speaker recognition
  • Speaker verification
  • Speech corpus
  • Speech processing

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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