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 language | English |
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Title of host publication | 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 5500-5504 |
Number of pages | 5 |
ISBN (Print) | 978-1-4799-9988-0 |
DOIs | |
Publication status | Published - Mar 2016 |
Event | 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - China, Shanghai, China Duration: 20 Mar 2016 → 25 Mar 2016 https://www2.securecms.com/ICASSP2016/Default.asp |
Conference
Conference | 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 |
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Abbreviated title | ICASSP 2016 |
Country/Territory | China |
City | Shanghai |
Period | 20/03/16 → 25/03/16 |
Internet address |