Researchers’ AI system strips identifiable attributes like gender from speech recordings
July 21, 2020
In a study accepted to the 2020 International Conference on Machine Learning last week, researchers at the Chalmers University of Technology and the RISE Research Institutes of Sweden propose a privacy-preserving technique that learns to obfuscate attributes like gender in speech data. They use a model that’s trained
to filter sensitive information in recordings and then generate new and private…