The simulated datasets used for multispeaker anonymization
<p> </p> <p>The simulated datasets of the paper: </p> <p>"A Benchmark for Multi-speaker Anonymization," (submitted to IEEE TIFS)<br><a href="https://arxiv.org/abs/2407.05608">https://arxiv.org/abs/2407.05608</a></p> <p>The authors are Xiaoxiao Miao, Ruijie Tao, Chang Zeng, Xin Wang</p> <p>This data is meant to be used with our open-source implementation, which can be found here: <a href="https://github.com/xiaoxiaomiao323/MSA">https://github.com/xiaoxiaomiao323/MSA</a></p> <p>This study is partially supported by JST, PRESTO Grant Number JPMJPR23P9, Japan, SIT-ICT Academic Discretionary Fund, and Ministry of Education, Singapore, under its Academic Research Tier 1 (R-R13-A405-0005) and its SIT's Ignition grant (STEM) (R-IE3-A405-0005).</p> <p>More information about the directory structure and how to use the data can be found in the READMEs on GitHub.</p> <p> </p> <p> </p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0