CEEMDAN可降噪但难分离混叠语音，限于频幅条件。
Study of the Performance of CEEMDAN in Underdetermined Speech Separation
- 基于信号频幅条件分析CEEMDAN在语音分离中的表现
- 能有效去除部分噪声提升语音质量，但无法分离混叠语音
- 适合研究非平稳信号降噪的工程应用者参考
CEEMDAN是一种用于分析非平稳信号的现代方法。本研究探讨该方法在语音源分离中的有效性，揭示了其适用的频率与振幅条件。实验考察了算法在语音去噪及语音间分离方面的性能。结果表明，CEEMDAN可有效去除部分噪声以改善语音质量，但无法实现多语音信号的分离（即鸡尾酒会问题）。仿真在Matlab环境下进行，使用Noizeus数据库验证。
原文摘要 · Abstract (English)
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.
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