DocumentCode
1803957
Title
Privacy Protection for Speech Information
Author
Yamamoto, Kazumasa ; Nakagawa, Seiichi
Author_Institution
Dept. of Inf. & Comput. Sci., Toyohashi Univ. of Technol., Toyohashi, Japan
Volume
1
fYear
2009
fDate
18-20 Aug. 2009
Firstpage
717
Lastpage
720
Abstract
Ubiquitous network society will be achieved soon. In the society, all electronic equipments including "sensors" are connected to the network and communicate each other to share information. Sensor information is very important for the network, especially for virtual reality systems which give feeling of begin there. Since the sensor information, however, includes a lot of privacy information, it is not preferred to send raw privacy information through the network. In this paper, we describe about privacy protection for speech information. We think that the privacy information in speech is "voice characteristics" and "linguistic privacy information." We try to protect these privacy information by using "voice conversion" and "deletion of privacy linguistic information for speech recognition result." Since, however, speech recognition technology is not robust in real environment still now, "elimination of only speech in noisy speech" technique is also considered.
Keywords
data privacy; speech processing; speech recognition; speech synthesis; ubiquitous computing; electronic equipments; linguistic privacy information; noisy speech; privacy protection; speech elimination; speech information; speech recognition; ubiquitous network society; virtual reality systems; voice characteristics; voice conversion; Acoustic noise; Acoustic sensors; Loudspeakers; Microphones; Privacy; Protection; Speech enhancement; Speech recognition; Thermal sensors; Working environment noise; personal infromation; privacy protection; speech elimination; speech information; speech recognition; voice conversion;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
Conference_Location
Xian
Print_ISBN
978-0-7695-3744-3
Type
conf
DOI
10.1109/IAS.2009.321
Filename
5283279
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