Abstract
Speech is one of the main communication methods used by humans. So designing speech based interfaces for computer applications can ease the use of them for different users, especially disabled and elderly people. In this project, we want to design and implement a system that can identify user’s group from his/her speech. We are working on two main applications: Parental Control and Completely Automated Public Turing test to tell Computers and Human Apart (CAPTCHA). In the Parental Control application, we want to distinguish between child users and adults based on human speech. This can be used to restrict child user access to adult materials such as adult websites. In the CAPTCHA application, we want to design a fully spoken CAPTCHA which can be used easily by all users, especially blind users.
PhD Supervisor: Dr. Hassan Abolhassani, Computer Engineering Department, Sharif University of Technology, abolhassani@sharif.edu
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Shirali-Shahreza, S. (2010). Use Speech for User’s Group Identification. In: Horacek, H., Métais, E., Muñoz, R., Wolska, M. (eds) Natural Language Processing and Information Systems. NLDB 2009. Lecture Notes in Computer Science, vol 5723. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12550-8_33
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DOI: https://doi.org/10.1007/978-3-642-12550-8_33
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