A Phoneme Localization Based Liveness Detection for Text-Independent Speaker Verification
A Phoneme Localization Based Liveness Detection for Text-Independent Speaker Verification
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DOI：
10.1109/tmc.2022.3187432
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发表时间：
2023-10
影响因子：
7.9
通讯作者：
Linghan Zhang;Sheng Tan;Yingying Chen;Jie Yang
中科院分区：
文献类型：
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作者：
Linghan Zhang;Sheng Tan;Yingying Chen;Jie Yang
语音认证正引起越来越多的关注，并成为移动的认证的密码的有吸引力的替代方案。移动的技术的最新进展进一步加速了语音生物测定在各种各样的移动的应用中的采用。然而，最近的研究表明，语音认证容易受到重放攻击，其中对手可以使用从受害者收集的预先录制的语音样本来欺骗语音认证系统。在这篇文章中，我们提出了VoiceLive，一个活跃的检测系统，用于智能手机上的文本相关和文本无关的语音认证。VoiceLive通过利用用户独特的语音系统和智能手机的立体声录音来检测现场用户。特别是，利用内置的陀螺仪，扬声器和麦克风，VoiceLive首先测量智能手机与用户的距离和角度，然后它捕获到电话的两个麦克风的音素声音序列中的位置特定的到达时间差（TDoA）变化，并使用这种独特的TDoA动态，这在重放攻击下不存在，用于活性检测。VoiceLive是实用的，因为它不需要额外的硬件，但双声道立体声录音，几乎所有的智能手机支持。我们对12名参与者和不同类型的手机进行的实验评估表明，VoiceLive在文本相关系统上以约1%的等错误率（EER）实现了99%以上的检测准确率，在文本无关系统上实现了约99%的准确率和2%的EER。结果还表明，VoiceLive对不同的电话位置是鲁棒的，即，用户可以自由地以不同的距离和角度握持智能电话。
Voice authentication is drawing increasing attention and becomes an attractive alternative to passwords for mobile authentication. Recent advances in mobile technology further accelerate the adoption of voice biometrics in an array of diverse mobile applications. However, recent studies show that voice authentication is vulnerable to replay attacks, where an adversary can spoof a voice authentication system using a pre-recorded voice sample collected from the victim. In this article, we propose VoiceLive, a liveness detection system for both text-dependent and text-independent voice authentication on smartphones. VoiceLive detects a live user by leveraging the user's unique vocal system and the stereo recording of smartphones. In particular, utilizing the built-in gyroscope, loudspeaker and microphone, VoiceLive first measures the smartphone's distance and angle from the user, then it captures the position specific time-difference-of-arrival (TDoA) changes in a sequence of phoneme sounds to the two microphones of the phone, and uses such unique TDoA dynamic which doesn't exist under replay attacks for liveness detection. VoiceLive is practical as it doesn't require additional hardware but two-channel stereo recording that is supported by virtually all smartphones. Our experimental evaluation with 12 participants and different types of phones shows that VoiceLive achieves over 99% detection accuracy at around 1% Equal Error Rate (EER) on the text-dependent system and around 99% accuracy and 2% EER on the text-independent one. Results also show that VoiceLive is robust to different phone positions, i.e., the user are free to hold the smartphone with distinct distances and angles.