比较两个记录的声音 [英] Comparing two recorded voices

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本文介绍了比较两个记录的声音的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我需要找一些文学如何在实时录音(从MIC)针对pre-记录声音的数据库进行比较。比较之后,我会再需要输出它的匹配百分比。

I need to find some literature in how to compare a realtime recorded voice (From a mic) against a database of pre-recorded voices. After comparing I would then need to output a match percentage of it.

我在研究上的音频指纹,但我不能真正对这种执行的任何文献中得出任何结论。任何专家在这里可以很容易地指导我实现这个?

I am researching on audio fingerprinting, but I cant really get to any conclusion on any literature of such implementation. Any expert out here which can easily guide me in achieving this ?

推荐答案

这绝对不是一个简单的问题。

This is definitely not a trivial problem.

如果你认真努力解决这个问题,我建议你仔细看看怎么演EN codeRS工作。

If you're seriously trying to solve it, I suggest you take a close look at how speech encoders work.

所涉及的步骤粗略击穿:

A rough break-down of the steps involved:

  1. 在确定的时间间隔在录音中,包含元音
  2. 确定基本频率和元音的谐波
  3. 确定谐波的相对幅度和根本
  4. 的平均频率
  5. 在开发测量两个元音有多接近对方的基础上,从第3步
  6. 参数距离度量
  7. 计算距离从元音一个新的记录到这些数据库的记录的。
  1. Identify the intervals in the recording, that contains vowels
  2. Determine the fundamental frequency and the harmonics of the vowel sound
  3. Determine the relative amplitude of the harmonics and the average frequency of the fundamental
  4. Develop a "distance" metric that measures how close two vowel sounds are to each other based on the parameters from step 3
  5. Calculate the distance from the vowel sounds of a new recording to those of the recordings of the data base.

这步骤3中的参数是一种声道的指纹的。通常情况下,辅音不够不同的是大量的使用(除非元音由两个人非常相似)。

The parameters from step 3 is a sort of "fingerprint" of the vocal tract. Typically the consonant sounds are not sufficiently different to be of substantial use (unless the vowel sounds from two individuals are very similar).

作为第一和非常简单的步骤尝试确定元音的平均基本并使用该频率作为签名

As a first and very simple step try to determine the average fundamental of the vowels and use that frequency as the signature.

祝你好运,

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