Speaker verification method using bone-conduction and air-conduction speech

Speaker verification method using bone-conduction and air-conduction speech
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DOI:
10.1109/ispacs.2009.5383806
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发表时间:
2009-12
期刊:
2009 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)
影响因子:
--
通讯作者:
S. Tsuge;D. Koizumi;M. Fukumi;S. Kuroiwa
S. Tsuge;D. Koizumi;M. Fukumi;S. Kuroiwa
中科院分区:
其他
文献类型:
--
作者:
S. Tsuge;D. Koizumi;M. Fukumi;S. Kuroiwa

文献摘要

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最近,除了传统的电容式麦克风之外,还开发了一些新的传感器来收集语音数据,例如骨导麦克风、喉式麦克风和非可听杂音(NAM)麦克风。因此,一些研究人员开始使用这些新传感器收集的语音数据来研究说话人和语音识别。我们重点关注骨导麦克风收集的骨导语音数据。在本文中,我们首先研究骨传导语音的说话者验证性能。此外,我们提出了一种结合使用骨传导语音和气导来进行说话人验证的方法。该方法综合了气导语音模型计算的相似度和骨导语音模型计算的相似度。我们利用99位女性说话人的语音数据,进行了说话人验证实验。实验结果表明,骨导语音的说话人验证性能低于气导语音。然而,所提出的方法可以提高骨导和气导语音的说话人验证性能。实际上,该方法可以将气导语音等误码率降低16.0%,骨导语音等误码率降低71.7%。
Recently, some new sensors, such as bone-conductive microphones, throat microphones, and non-audible murmur (NAM) microphones, besides conventional condenser microphones have been developed for collecting speech data. Accordingly, some researchers began to study speaker and speech recognition using speech data collected by these new sensors. We focus on bone-conduction speech data collected by the bone-conductive microphone. In this paper, we first investigate speaker verification performances of bone-conduction speech. In addition, we propose a method of using bone-conduction speech and air-conduction together for the speaker verification. The proposed method integrates the similarity calculated by air-conduction speech model and similarity calculated by bone-conduction speech model. Using 99 female speakers' speech data, we conducted speaker verification experiments. Experimental results show that the speaker verification performance of bone-conduction is lower than that of air-conduction speech. However, the proposed method can improve the speaker verification performance of bone- and air-conduction speech. Actually, the proposed method can reduce the equal error rate of air-conduction speech by 16.0% and the equal error rate of bone-conduction speech by 71.7%.