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MSA

A Benchmark for Multi-speaker Anonymization

This is an implementation of the paper - A Benchmark for Multi-speaker Anonymization

The authors are Xiaoxiao Miao, Ruijie Tao, Chang Zeng, Xin Wang.

Audio samples can be found here: https://xiaoxiaomiao323.github.io/msa-audio/

Image

How to run

git clone https://github.com/xiaoxiaomiao323/MSA.git

cd MSA

bash install.sh

bash demo.sh

This script will automatically download the silmulated conversations and do resynthesis, select, AS, DS anonymization and calculate DER for each case.

Instructions for aonymization for your own conversations

  • Put your data under "data/wavs"
  • [Optional] If you have real RTTMs, put it under "data/rttms" (only needed if you want to compute DERs)
  • bash demo.sh

Acknowledgments

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)

License

The anon/adapted_from_facebookreaserch subfolder has Attribution-NonCommercial 4.0 International License. The anon/adapted_from_speechbrain subfolder has Apache License. They were created by the facebookreasearch and speechbrain orgnization, respectively. The anon/scripts and anon /anon_control subfolder has the MIT license.

Because this source code was adapted from the facebookresearch and speechbrain, the whole project follows
the Attribution-NonCommercial 4.0 International License.

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