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Speaker identification under the changed sound environment

机译:改变的声音环境下的扬声器识别

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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,发言人认可取得了很大进展。但在现实生活中,扬声器识别系统的表现易受各种因素,特别是环境噪音和健康状况。本文研究扬声器识别系统的性能,当测试仪遭受寒冷时。感冒倾向于诱导鼻腔的炎症和肿胀,然后改变鼻的调制到声源激励信号,使扬声器的声音发生变化。 r.g. Tull [8]还发现,当健康人称为火车言论时,扬声器识别系统的性能显着降低,而被捕捉作为测试演讲的人感冒的人的冷酷讲话。本文通过研究鼻腔的组成并比较正常语音和冷言论的频域特性,我们发现寒冷使低频分量更大,高频分量更小。因此,我们提出了使用不同预注重过滤过程正常语音和冷演讲的方法。实验结果表明,与一般方法相比,该方法可以通过6%提高扬声器识别系统的性能所有语音都是用相同的滤波器处理的所有语音。

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