期刊文献+

基于共振峰合成和韵律调整的语音验证码方法研究 被引量:4

Research on formant synthesis and prosody adjustment-based speech validation codes
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摘要 为了提高语音验证技术的有效性,提出了一种基于共振峰合成、修改时长和调节韵律的随机语音验证码生成方法。该方法选择音素作为语音合成单元,基于规则在合成过程中设定随机语速参数,以及调整单元之间的连接规则来实现韵律的随机调整,使得语速和韵律具有不确定性和不可预测性,从而有效降低了自动语音识别技术(ASR)对语音码的识别率,增强了语音验证码的抗攻击性。合成的语音验证码的人耳识别率达到了90%左右,ASR的识别率为28.8%,主观平均判分(MOS)为4分,语音码的可懂度和清晰度达到了满意的效果。实验结果验证了所提方法的可行性。 In order to improve the effectiveness of speech verification technology, this paper proposed a method of speech validation codes based on formant synthesis, time scale modification and prosody regulation. This method chose phonemes as speech synthesis units and set parameters for speed regulations in the synthesis process based on rules, which adjusted the con- nection rules between units to achieve a random prosody regulation. Due to the uncertainty of speed and prosody, for speech val- idation codes, this method effectively reduced recognition rate of automatic speech recognition and enhanced resistance to at- tack. The recognition rate of synthesized speech validation codes was 90% for human ear, and 28.8% for automatic speech recognition software. The mean opinion score (MOS) was 4 points. Both intelligibility and articulation of the synthesis speech were satisfied. The experimental results confirm the practicality of the proposed method.
出处 《计算机应用研究》 CSCD 北大核心 2011年第7期2458-2461,共4页 Application Research of Computers
基金 国家自然科学基金资助项目(61004112) 中国博士后科学基金资助项目(20080430750)
关键词 语音合成 验证码 共振峰合成 韵律调整 时长规整 speech synthesis CAPTCHA formant synthesis prosody adjustment time scale modification
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参考文献14

  • 1Von AHN L,BLUM M,LANGFORD J. Telling humans and computers apart automatically [ J ]. Communications of the ACM, 2004,47 (2) :56-60.
  • 2戴如意,艾丽蓉,高海昌.基于多形变特征的汉字验证码的设计及实现[J].计算机应用研究,2010,27(4):1508-1510. 被引量:7
  • 3VIMINA E R, AREEKAL A U. Telling computers and humans apart automatically using activity recognition [ C ]//Proc of IEEE International Conference on Systems, Man, and Cybernetics. 2009 : 4906-4909.
  • 4文晓阳,高能,夏鲁宁,荆继武.高效的验证码识别技术与验证码分类思想[J].计算机工程,2009,35(8):186-188. 被引量:26
  • 5SHIRALI-SHAHREZA S,ABOLHASSANI H, SAMETI H,et al. Spoken CAPTCHA: a CAPTCHA system for blind user[ C ]//Proc of ISECS International Colloquium on Computing, Communication, Control, and Management. 2009:221-224.
  • 6朱晓云,徐贵宝.利用语音技术实现互联网信息无障碍[J].电信网技术,2010(1):46-49. 被引量:3
  • 7邵艳秋,韩纪庆,王卓然,刘挺.韵律参数和频谱包络修改相结合的情感语音合成技术研究[J].信号处理,2007,23(4):526-530. 被引量:7
  • 8Van SANTEN J P H,SPROAT R W,OLIVE J P,et a1.语音合成[M].蔡连红,杨鸿武,昊志勇,等译.北京:机械工业出版社,2005.
  • 9KLATY D H, KLAT'F L C. Analysis, synthesis, and perception of voice quality variations among female and male talkers [ J ]. Acoustical Society of American, 1990,87 ( 2 ) : 820-857.
  • 10赵亮,刘文举.共振峰参数语音模型的软件实现[C]//中国自动化学会第20届青年学术会议.2005:252-257.

二级参考文献37

  • 1薛磊,杨晓敏,吴炜,陈默,何小海.一种基于KNN与改进SVM的车牌字符识别算法[J].四川大学学报(自然科学版),2006,43(5):1031-1036. 被引量:21
  • 2吉治钢.基于验证码破解的HTTP攻击原理与防范[J].计算机工程,2006,32(20):170-172. 被引量:20
  • 3全球中文论坛100强[Z/OL].(2004-10-12).http://www.qihoo.corn/forum/portal/topbbs,top100.htm.
  • 4文晓阳,高能,荆继武.论坛验证码技术的安全性分析[C]//全国计算机安全学术交流会论文集.张家界,中国:[出版者不详],2007.
  • 5Ming Jiang. Digital Image Processing[EB/OL]. (2006-09-26). http://iria, pku.edu.cn/-jiangm/courses/dip/html/node68.html.
  • 6He Chunlei, Zhang Ping, Dong Jianxiong, et al. The Role of Size Normalization on the Recognition Rate of Handwritten Numerals[C]//Proc. of NNLDAR'05. [S. l.]: IEEE Press, 2005.
  • 7MySpace Continues to Make The Captcha Tougher![EB/OL]. (2007-09-09). http:llarmyofblogs.coml2007/09/091mys ace-loosingthier-minds/.
  • 8AHN L,BLUM M,HOPPER N,et al.CAPTCHA:using hard AI problems for security[J].Lecture Notes in Computer Sconce,2003,2656(9):294-311.
  • 9HALL R V.CAPTCHA as a Web security control[EB/OL].(2005-12-17)(2008-10-26).http://www.richhall.com/isc4350/captcha_20051217.htm.
  • 10YAN J,AHMAD A S E.Usability of CAPTCHAs or usability issues in CAPTCHA design[C]// Proc of the 4th Symposium on Usable Privacy and Security.New York:ACM,2008:44-52.

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