Speech signals separation with microphone array

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Separating simultaneous speech signals from a mixture is well studied problem. There are two major approaches: blind source separation and spatial filtering. The first relies on the statistical independence and super-Gaussian distribution of the speech signals. The spatial filtering uses the fact that speech sources are separated in the space. In this talk will be presented the results of the summer internship where both approaches are combined for maximizing the source separation. Applications for speech separation include gaming, communication, and voice control.




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