技术已经使得通过声波纹或眼睛虹膜来确定一个人的身份成为可能。
Technology has made it possible to confirm a person's identity through a voiceprint or by scanning the iris of the eye.
构建平均声波纹的频谱组件要求修改sndpeek .cpp文件。
Building an average of a voice print's spectral components requires modifications to the sndpeek.cpp file.
清单12显示了渲染过程，其中一些自定义颜色是根据匹配的声波纹来显示的。
Listing 12 shows the rendering process, with some custom colors depending on which voice prints matched.
在完全读入指定的音频文件后，我们需要为创建的声波纹输出存储的频谱信息。
Once the specified audio file has been read in its entirety, we'll need to print out the stored spectrum information for the created voice print.
本文将演示修改sndpeek所需的工具和代码，从而针对给定讲话者录制个人声波纹文件。
This article demonstrates the tools and code you'll need to modify sndpeek to record individual voice-print files for a given speaker.
通过工具和本文中对sndpeek的修改，您可以开始根据声波纹从音频记录中识别不同的人。
With the tools and modifications to sndpeek described here, you can begin to isolate specific individuals from audio recordings based on their voice prints.
根据声波纹文件的大小、涉及的说话者和各种其他因素，您可能需要调整上述更改中实现的一些选项。
Depending on the size of your voice-print files, available speakers, and various other factors, you may have to tweak some of the options implemented in the changes above.
build _ match_number的第一部分将查看录制的声波纹频谱中的当前值是否超出可接受的偏差。
The first part of build_match_number looks to see if the current value in the recorded voice-print spectrum is outside the accepted deviation.
声波纹一种电子记录下来的图纹，表现出一个人的声音，图中每一种发音的轮廓都是这个说话者的单独特征。
An electronically recorded graphic representation of a person's voice, in which the configuration for any given utterance is uniquely characteristic of the individual speaker.
但是，sndpeek和一些自定义算法可以提供一种声波纹匹配配置，这种配置适当降低了复杂度，同时保留了较高程度的有效性。
However, sndpeek and some custom algorithms can provide a voice-print matching configuration of considerably reduced complexity while retaining a great deal of usefulness.
因此下面的修改将利用这个事实，创建当前波形与所有存储在 *.vertex文件中的声波纹之间的偏差数量的简单计数。
This fact will be used by the modification shown below to create a simple count of the number of deviations between the current waveform and all of the stored voice prints from the *.vertex files.
如果已经读取了完整的数据样例，则使用build _ match_number子例程创建当前匹配状态，并且最佳匹配的声波纹将在stdout中输出并设置为可渲染。
If a full sample of data has been read, the current match state is created using the build_match_number subroutine, and the voice print with the best match is printed on stdout and set to be rendered.
理论分析发现，这些波纹是由横向表面声波造成的。
Theoretical analysis show that, these ripple patterns stemmed from transverse surface acoustic waves.
理论分析发现，这些波纹是由横向表面声波造成的。
Theoretical analysis show that, these ripple patterns stemmed from transverse surface acoustic waves.
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