Privacy-preserving sound to degrade automatic speaker verification performance

Shinji Takaki, Junichi Yamagishi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

In this paper, a privacy protection method to prevent speaker identification from recorded speech is proposed and evaluated. Although many techniques for preserving various private information included in speech have been proposed, their impacts on human speech communication in physical space are not taken into account. To overcome this problem, this paper proposes privacy-preserving sound as a privacy protection method. The privacy-preserving sound can degrade speaker verification performance without interfering with human speech communication in physical space. To make a first step toward solving this problem, suitable sound characteristics for preserving privacy are evaluated in terms of the speaker verification performance and speech intelligibility. The experimental results show that appropriate sound can efficiently degrade the speaker verification performance without degrading speech intelligibility.
Original languageEnglish
Title of host publication2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
PublisherInstitute of Electrical and Electronics Engineers
Pages5500-5504
Number of pages5
ISBN (Print)978-1-4799-9988-0
DOIs
Publication statusPublished - Mar 2016
Event41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - China, Shanghai, China
Duration: 20 Mar 201625 Mar 2016
https://www2.securecms.com/ICASSP2016/Default.asp

Conference

Conference41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
Abbreviated titleICASSP 2016
Country/TerritoryChina
CityShanghai
Period20/03/1625/03/16
Internet address

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