Multidimensional scaling of systems in the Voice Conversion Challenge 2016

Mirjam Wester, Zhizheng Wu, Junichi Yamagishi

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This study investigates how listeners judge the similarity of voice converted voices using a talker discrimination task. The data used is from the Voice Conversion Challenge 2016. 17 participants from around the world took part in building voice converted voices from a shared data set of source and target speakers. This paper describes the evaluation of similarity for four of the source-target pairs (two intra-gender and two cross-gender) in more detail. Multidimensional scaling was performed to illustrate where each system was perceived to be in an acoustic space compared to the source and target speakers and to each other.
Original languageEnglish
Title of host publication9th ISCA Speech Synthesis Workshop
Number of pages6
Publication statusPublished - 15 Sep 2016
Event9th ISCA Speech Synthesis Workshop - Sunnyvale, United States
Duration: 13 Sep 201615 Sep 2016


Conference9th ISCA Speech Synthesis Workshop
Abbreviated titleISCA 2016
Country/TerritoryUnited States
Internet address


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