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Speaker identification under the changed sound environment

机译:改变声音环境下的说话人识别

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Under the laboratory environment, speaker recognition has made great progress. But in real life, the performance of speaker recognition system is vulnerable to various factors, especially environmental noise and healthy condition. This paper studies the performance of speaker identification system when the tester suffers from the cold. The cold tends to induce inflammation and swelling of the nasal cavity, and then changes the modulation of nasals to sound source excitation signal and makes the speaker's voice changed. R.G. Tull[8] also found the speaker recognition system's performance significantly decreases when taking normal speech speaked by the healthy persons as train speech, while cold speech by persons who are catching cold as test speech. In this paper, through studying the composition of nasal and comparing the frequency domain properties of normal speech and cold speech, we find that the cold makes the low frequency components larger and high-frequency components smaller. So we propose the method using different pre-emphasis filter process normal speech and cold speech. Experimental results show that this method can improve the performance of the speaker identification system by 6% compared to general method all speeches are processed with the same filter.
机译:在实验室环境下,说话人识别取得了长足的进步。但是在现实生活中,说话人识别系统的性能容易受到各种因素的影响,特别是环境噪声和健康状况。本文研究了测试者遭受寒冷时说话人识别系统的性能。感冒容易诱发鼻腔发炎和肿胀,然后将鼻腔的调制方式更改为声源激励信号,并使说话者的声音发生变化。 R.G. Tull [8]还发现,以健康人的正常语音作为训练语音,而感冒的人的冷语音作为测试语音,说话人识别系统的性能会大大降低。在本文中,通过研究鼻腔的成分并比较普通语音和冷语音的频域特性,我们发现冷会使低频成分变大而高频成分变小。因此,我们提出了使用不同的预加重滤波处理正常语音和冷语音的方法。实验结果表明,该方法可将说话人识别系统的性能提高6%,而一般方法是使用相同的滤波器处理所有语音。

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