Speech signals separation with microphone array

  • Lae-Hoon Kim | MSR Intern - University of Illinois at Urbana-Champaign

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.

Speaker Details

Lae-Hoon Kim received his Bachelor’s and Master’s degrees in Electrical Engineering from Seoul National University in Korea in 1999 and 2001 respectively. He is a PhD student in Statistical Speech Technology Group in University of Illinois at Urbana-Champaign with advisor Professor Mark Hasegawa-Johnson. The tentative title of his PhD thesis is “Statistical Model Based Multi-Microphone Speech Signal Processing”. More information about him can be found at http://www.isle.illinois.edu/~lkim9/.

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