An audio CAPTCHA to distinguish humans from computers
CAPTCHAs are employed as a security measure to differentiate human users from bots. A new sound-based CAPTCHA is proposed in this paper, which exploits the gaps between human voice and synthetic voice rather than relays on the auditory perception of human. The user is required to read out a given...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Book Section |
| Published: |
IEEE Computer Society
2010
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| Online Access: | https://eprints.nottingham.ac.uk/1343/ |
| _version_ | 1848790589634510848 |
|---|---|
| author | Haichang, Gao Liu, Honggang Yao, Dan Liu, Xiyang Aickelin, Uwe |
| author2 | Yu, Fei |
| author_facet | Yu, Fei Haichang, Gao Liu, Honggang Yao, Dan Liu, Xiyang Aickelin, Uwe |
| author_sort | Haichang, Gao |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | CAPTCHAs are employed as a security measure to differentiate human users from bots. A new sound-based
CAPTCHA is proposed in this paper, which exploits the gaps
between human voice and synthetic voice rather than relays on the auditory perception of human. The user is required to read out a given sentence, which is selected randomly from a specified book. The generated audio file will be analyzed automatically to judge whether the user is a human or not. In this paper, the design of the new CAPTCHA, the analysis of the audio files, and the choice of the audio frame window function are described in detail. And also, some experiments are conducted to fix the critical threshold and the coefficients of three indicators to ensure the security. The proposed audio CAPTCHA is proved accessible to users. The user study has shown that the human success rate reaches approximately 97% and the pass rate of attack software using Microsoft SDK 5.1 is only 4%. The experiments also indicated that it could be solved
by most human users in less than 14 seconds and the average
time is only 7.8 seconds. |
| first_indexed | 2025-11-14T18:15:01Z |
| format | Book Section |
| id | nottingham-1343 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:15:01Z |
| publishDate | 2010 |
| publisher | IEEE Computer Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-13432024-11-06T14:52:23Z https://eprints.nottingham.ac.uk/1343/ An audio CAPTCHA to distinguish humans from computers Haichang, Gao Liu, Honggang Yao, Dan Liu, Xiyang Aickelin, Uwe CAPTCHAs are employed as a security measure to differentiate human users from bots. A new sound-based CAPTCHA is proposed in this paper, which exploits the gaps between human voice and synthetic voice rather than relays on the auditory perception of human. The user is required to read out a given sentence, which is selected randomly from a specified book. The generated audio file will be analyzed automatically to judge whether the user is a human or not. In this paper, the design of the new CAPTCHA, the analysis of the audio files, and the choice of the audio frame window function are described in detail. And also, some experiments are conducted to fix the critical threshold and the coefficients of three indicators to ensure the security. The proposed audio CAPTCHA is proved accessible to users. The user study has shown that the human success rate reaches approximately 97% and the pass rate of attack software using Microsoft SDK 5.1 is only 4%. The experiments also indicated that it could be solved by most human users in less than 14 seconds and the average time is only 7.8 seconds. IEEE Computer Society Yu, Fei Russell, Martha Rubens, Neil Zhang, Jun 2010 Book Section PeerReviewed Haichang, Gao, Liu, Honggang, Yao, Dan, Liu, Xiyang and Aickelin, Uwe (2010) An audio CAPTCHA to distinguish humans from computers. In: Third International Symposium on Electronic Commerce and Security, ISECS2010: Guangzhou, China, 29-31 July 2010. IEEE Computer Society, Los Alamos, Calif., pp. 265-269. http://isecs2010.gdcc.edu.cn/index.htm |
| spellingShingle | Haichang, Gao Liu, Honggang Yao, Dan Liu, Xiyang Aickelin, Uwe An audio CAPTCHA to distinguish humans from computers |
| title | An audio CAPTCHA to distinguish humans from computers |
| title_full | An audio CAPTCHA to distinguish humans from computers |
| title_fullStr | An audio CAPTCHA to distinguish humans from computers |
| title_full_unstemmed | An audio CAPTCHA to distinguish humans from computers |
| title_short | An audio CAPTCHA to distinguish humans from computers |
| title_sort | audio captcha to distinguish humans from computers |
| url | https://eprints.nottingham.ac.uk/1343/ https://eprints.nottingham.ac.uk/1343/ |