The CEEMDAN algorithm is one of the modern methods used in the analysis of non-stationary signals. This research presents a study of the effectiveness of this method in audio source separation to know the limits of its work. It concluded two conditions related to frequencies and amplitudes of mixed signals to be separated by CEEMDAN. The performance of the algorithm in separating noise from speech and separating speech signals from each other is studied. The research reached a conclusion that CEEMDAN can remove some types of noise from speech (speech improvement), and it cannot separate speech signals from each other (cocktail party). Simulation is done using Matlab environment and Noizeus database.

翻译：CEEMDAN算法是分析非平稳信号的现代方法之一。本研究探讨了该方法在音频源分离中的有效性，以明确其工作极限。研究总结出CEEMDAN分离混合信号时需满足的两个与频率和振幅相关的条件。分析了该算法在语音降噪及语音信号相互分离方面的性能。研究得出结论：CEEMDAN能够去除语音中的某些噪声类型（语音增强），但无法实现语音信号间的相互分离（鸡尾酒会问题）。仿真实验基于Matlab平台和Noizeus数据库完成。