Now showing items 1-4 of 4

    • Automatic Speaker Verification Spoofing and Countermeasures Challenge (ASVspoof 2015) Database 

      Tomi Kinnunen, University of Eastern Finland; Zhizheng Wu, University of Edinburgh; Nicholas Evans, EURECOM; Junichi Yamagishi, University of Edinburgh (2018-11-28)
      The database has been used in the first Automatic Speaker Verification Spoofing and Countermeasures Challenge (ASVspoof 2015). Genuine speech is collected from 106 speakers (45 male, 61 female) and with no significant channel ...
    • Muunnellun puheen korpus 

      Stefan Werner, University of Eastern Finland; Tomi Kinnunen, University of Eastern Finland; Rosa González Hautamäki, University of Eastern Finland; Md Sahidullah, University of Eastern Finland; Ville Hautamäki, University of Eastern Finland; Maria Bentz, University of Eastern Finland (2018-06-08)
      Korpus koostuu puhenäytteistä, joissa puhujat lukevat tekstiä ääneen joko normaalilla äänellään tai siten, että he pyrkivät kuulostamaan eri-ikäiseltä henkilöltä. Aineisto sisältää näytteet 60 aikuiselta puhujalta (31 ...
    • The 2nd Automatic Speaker Verification Spoofing and Countermeasures Challenge (ASVspoof 2017) Database, Version 2 

      Tomi Kinnunen, University of Eastern Finland; Md Sahidullah, University of Eastern Finland; Héctor Delgado, EURECOM; Massimiliano Todisco , EURECOM; Nicholas Evans , EURECOM; Junichi Yamagishi , National Institute of Informatics, Japan; Kong Aik Lee, Institute for Infocomm Research, Singapore (2018-11-28)
      This is a database used for the Second Automatic Speaker Verification Spoofing and Countermeasuers Challenge, for short, ASVspoof 2017 (http://www.asvspoof.org) organized by Tomi Kinnunen, Md Sahidullah, Héctor Delgado, ...
    • The Voice Conversion Challenge 2018: database and results 

      Tomi Kinnunen, University of Eastern Finland; Jaime Lorenzo-Trueba; Junichi Yamagishi; Tomoki Toda; Daisuke Saito; Fernando Villavicencio; Zhenhua Ling (2018-11-28)
      Voice conversion (VC) is a technique to transform a speaker identity included in a source speech waveform into a different one while preserving linguistic information of the source speech waveform. In 2016, we have ...