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The simulated datasets used for multispeaker anonymization

<p>&nbsp;</p> <p>The simulated datasets of the paper:&nbsp;</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>&nbsp;</p> <p>&nbsp;</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