Blind source separation of indoor mobile voice sources

Blind source separation of indoor mobile voice sources

Chunli Wang Quanyu Wang  Yuping Cao 

College of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China

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The mobile voice sources move freely in the indoor range of several to tens of square meters at a speed of lower than 10m/s. The reflection signal and the subsequent original sound signal are superposed in each space to generate reverberation and cause serious interference to the original sound signal. Through the comparison of three classical algorithms of blind source separation, the online algorithm can constantly update the separation system in real time according to the different positions of voice source signals, but it has no advantages in such performances as operation speed and convergence speed. The batch algorithm is fast but delayed, while the blind source separation algorithm based on independent component analysis of the frequency domain has less computation and fast convergence. The improved separation matrix algorithm is used to verify the effectiveness of the algorithm.


Mobile Voice Sources, Reverberation, Blind Source Separation, Natural Gradient, Independent Component Analysis

1. Introduction
2. Reverberation
3. Blind Source Separation Algorithm for Mobile Speech Signals Based on Frequency Domain ICA
4. Optimization of ICA Blind Source Separation Algorithm
5. Simulation Experiment and Analysis of Results
6. Conclusions

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