遗传算法进行样本选择，然后再次识别 [英] Genetic Algorithm for sample selection and then identifying again

问题描述

我正在做一个音频速记技术项目，该项目使用遗传算法选择样本来隐藏数据.

问题是在根据环境根据遗传算法选择了样本之后，如何在没有原始音频文件的情况下如何识别样本以提取数据?

解决方案

<您至少需要记录所选的最终参数.如果需要，您还需要确保算法是可逆的，并且可以在没有原始声音文件的情况下提取数据.不过，这与GA无关，而且-不知道您使用的是哪种算法和文件格式，没有任何人可以提供超出建议模糊范围的帮助.

I am doing a project on Audio Stenography which uses Genetic algorithm for selection of samples to hide data.

The problem is after the samples are chosen using Genetic algorithm depending on their environment, but how can the samples be identified for extraction of the data without have the original audio file?

解决方案

You are going to need to record the final parameters that were selected, at the minimum. You also need to make sure that your algorithm is reversible and the data extractable without the original sound file, if that is a requirement. That doesn''t have anything to do with the GA, though – and without knowing what algorithm and file format you are using, no-one can help with that beyond the vaguest of advice.

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