Analysis of the Voice Conversion Challenge 2016 Evaluation Results
Author(s) -
Mirjam Wester,
Zhizheng Wu,
Junichi Yamagishi
Publication year - 2016
Publication title -
interspeech 2022
Language(s) - English
Resource type - Conference proceedings
DOI - 10.21437/interspeech.2016-1331
Subject(s) - computer science , speech recognition
The Voice Conversion Challenge (VCC) 2016, one of the special sessions at Interspeech 2016, deals with the well-known task of speaker identity conversion, referred as Voice Conversion (VC). The objective of the VCC is to compare various VC techniques on identical training and evaluation speech data. The full description of VCC 2016, the motivation, the database, the rules, the participants and main findings are presented in [1]. In the current paper, we describe the listening test design in more detail, we present the results of the listening test and the subsequent statistical analyses.
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