Relative phase information for detecting human speech and spoofed speech
Relative phase information for detecting human speech and spoofed speech
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DOI：
10.21437/interspeech.2015-473
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Longbiao Wang;Yohei Yoshida;Yuta Kawakami;S. Nakagawa
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文献类型：
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作者：
Longbiao Wang;Yohei Yoshida;Yuta Kawakami;S. Nakagawa
人类语音和假冒(合成/转换)语音的检测已经开始受到更多的关注。在本研究中，利用从傅里叶频谱中提取的相对相位信息来检测人类语音和欺骗语音。由于利用当前合成/转换技术的欺骗语音几乎完全丢失了原始/自然相位信息，一种改进的基于群延时的特征--相位谱的频率导数--已被证明对检测人类语音和欺骗语音是有效的。改进的基于群时延的相位同时包含幅度谱和相位信息。因此，仅包含相位信息的相对相位信息有望获得更好的欺骗检测性能。在本研究中，还将相对相位信息与美尔倒谱系数(MFCC)和修正的群延时相结合。使用ASVspoof 2015：自动说话人验证欺骗和对抗挑战数据集对所提出的方法进行了评估。结果表明，提出的相对相位信息的性能明显优于MFCC和修正的群时延。等误码率由MFCC的1.74%、修正群延时的0.83%降至相对相位的0.013%。通过将相对相位与MFCC和改进的群时延相结合，误码率降至0.002%。指标术语：欺骗检测、相对相位信息、群延时、GMM、对策
The detection of human and spoofed (synthetic/converted) speech has started to receive more attention. In this study, relative phase information extracted from a Fourier spectrum is used to detect human and spoofed speech. Because original/natural phase information is almost entirely lost in spoofed speech using current synthesis/conversion techniques, a modified group delay based feature, the frequency derivative of the phase spectrum, has been shown effective for detecting human speech and spoofed speech. The modified group delay based phase contains both the magnitude spectrum and phase information. Therefore, the relative phase information, which contains only phase information, is expected to achieve a better spoofing detection performance. In this study, the relative phase information is also combined with the Mel-Frequency Cepstral Coefficient (MFCC) and modified group delay. The proposed method was evaluated using the “ASVspoof 2015: Automatic Speaker Verification Spoofing and Countermeasures Challenge” dataset. The results show that the proposed relative phase information significantly outperforms the MFCC and modified group delay. The equal error rate (EER) was reduced from 1.74% of MFCC, 0.83% of modified group delay to 0.013% of relative phase. By combining the relative phase with MFCC and modified group delay, the EER was reduced to 0.002%. Index Terms: Spoofing detection, relative phase information, group delay, GMM, countermeasures