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Detection of speech playback attacks using robust harmonic trajectories

机译：使用鲁棒谐波轨迹检测语音播放攻击

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摘要

In this paper, a new feature set is proposed for use in a playback attack detector (PAD) aimed at safeguarding a passphrase and speaker-verified protected system that can be remotely accessed from an arbitrary location using an arbitrary telecommunication channel. The new feature set, termed VoicedTracks, is a time-frequency map of the most robust harmonic trajectories in an utterance and serves as an audio fingerprint that can uniquely identify an utterance despite a moderate amount of noise and channel distortion. Experimental results are obtained using a specially designed in-house database; the impact of various noise types and SNR levels is further investigated using a publicly available database. An analysis of playback scores across several combinations of telecommunication channel types, playback devices and additive noise demonstrates robustness of the feature set to channel distortion and additive noise, thus making it suitable for use in a copy-detection based PAD (cd-PAD) designed for applications such as telephone banking. Relative to other cd-PADs the proposed approach was better able to defend against playback attacks when telephone channels were involved. An analysis of its performance across the replay configurations used in the ASV-spoof 2017 V2 evaluation set suggests that the proposed cd-PAD is highly effective in detecting those playback attacks that are most likely to spoof the speaker verification system.
机译：在本文中，提出了一种用于播放攻击检测器（PAD）的新功能集，该播放攻击检测器（焊盘）可以使用任意电信通道从任意位置远程访问的密码攻击检测器（PAD）。新功能集称之为VoicedTracks是话语中最强大的谐波轨迹的时频图，并且作为音频指纹，尽管噪声和频道失真量的适度且频道失真可以唯一地识别话语。使用专门设计的内部数据库获得实验结果;使用公开可用的数据库进一步调查各种噪声类型和SNR水平的影响。跨电信信道类型，回放设备和加性噪声的若干组合的播放分数分析，演示了该特征设定为频道失真和加性噪声的鲁棒性，从而适用于基于拷贝的焊盘（CD-Pad）设计对于诸如电话银行的应用程序。相对于其他CD-PAD，当涉及电话渠道时，所提出的方法更好地防止播放攻击。对ASV-SPOOF 2017 V2评估集中使用的重放配置的性能分析表明，所提出的CD-PAD在检测最有可能恶化扬声器验证系统的播放攻击方面非常有效。

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