| Project/Area Number |
22K21319
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Multi-year Fund |
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| Review Section |
1002:Human informatics, applied informatics and related fields
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| Research Institution | National Institute of Informatics |
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Principal Investigator |
Miao Xiaoxiao 国立情報学研究所, コンテンツ科学研究系, 特任研究員 (10962508)
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| Project Period (FY) |
2022-08-31 – 2024-03-31
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| Project Status |
Granted (Fiscal Year 2022)
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| Budget Amount *help |
¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2023: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2022: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
|
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| Keywords | Speech processing / Speech privacy / Voice transformation / Anonymization / Deep learning |
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| Outline of Research at the Start |
Exposure of speech data without taking any measures would cause privacy issues.
The goal of the project is to perform a user-centric approach to hide multiple privacy-related speech attributes including speaker identity, age, gender, and dialect information, leaving non-private attributes unchange.
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