Name
Abstract | ||
|---|---|---|
The VoicePrivacy initiative aims to promote the development of privacy preservation tools for speech technology by gathering a new community to define the tasks of interest and the evaluation methodology, and benchmarking solutions through a series of challenges. In this paper, we formulate the voice anonymization task selected for the VoicePrivacy 2020 Challenge and describe the datasets used for system development and evaluation. We also present the attack models and the associated objective and subjective evaluation metrics. We introduce two anonymization baselines and report objective evaluation results. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.21437/Interspeech.2020-1333 | INTERSPEECH |
DocType | Citations | PageRank |
Conference | 1 | 0.37 |
References | Authors | |
0 | 11 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Natalia A. Tomashenko | 1 | 45 | 11.84 |
| Brij Mohan Lal Srivastava | 2 | 5 | 5.51 |
| Wang Xin | 3 | 2 | 0.73 |
| Emmanuel Vincent | 4 | 2963 | 186.26 |
| Andreas Nautsch | 5 | 44 | 10.92 |
| junichi yamagishi | 6 | 1906 | 145.51 |
| nicholas evans | 7 | 594 | 54.41 |
| Jose Patino | 8 | 4 | 8.23 |
| Bonastre Jean-François | 9 | 1 | 0.37 |
| Noé Paul-Gauthier | 10 | 1 | 0.37 |
| Massimiliano Todisco | 11 | 138 | 17.80 |