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首页> 外文会议>2017 IEEE International Conference on Systems, Man, and Cybernetics >Audio-CAPTCHA with distinction between random phoneme sequences and words spoken by multi-speaker
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Audio-CAPTCHA with distinction between random phoneme sequences and words spoken by multi-speaker

机译：音频-CAPTCHA，在随机音素序列和多说话者说出的单词之间有所区别

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摘要

Audio-CAPTCHA prevents malicious bots from attacking Web services and provides Web accessibility for visually-impaired persons. Most of the conventional methods employ statistical noise to distort sounds and let users remember and spell the words, which are difficult and laborious work for humans. In this paper, we utilize the difficulty on speaker-independent recognition for ASR machines instead of distortion with statistical noise. Our scheme synthesizes various voices by changing voice speed, pitch and native language of speakers. Moreover, we employ semantic identification problems between random phoneme sequences and meaningful words to release users from remembering and spelling words, so it improves the accuracy of humans and usability. We also evaluated our scheme in several experiments.
机译：Audio-CAPTCHA可以防止恶意漫游器攻击Web服务，并为视障人士提供Web可访问性。大多数常规方法使用统计噪声来使声音失真，并让用户记住和拼写单词，这对人类来说是困难而费力的工作。在本文中，我们利用了ASR机器的说话人独立识别的困难，而不是统计噪声造成的失真。我们的方案通过改变说话者的语音速度，音调和母语来合成各种声音。此外，我们在随机音素序列和有意义的单词之间使用语义识别问题，以使用户从记住和拼写单词中解脱出来，从而提高了人类的准确性和可用性。我们还在几个实验中评估了我们的方案。

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