R. Samborski, M. Ziółko, B. Ziółko, and J. Gałka (Poland)
source-separation, adaptive filtration, multi-microphone systems
This paper presents two different methods of speech extraction: cross-correlation analysis and adaptive filtering. Algorithms are designed to extract conversations in noisy environment. Such situations can appear in police investigations’ materials or multi-speaker environment. Noise can be added intentionally by suspects or not intentionally (e.g. in a car interior). Both of the algorithms are based on recordings from a dual-microphone system. The presented methods use the small differences between recordings. Algorithms were compared taking SNR improvement and better speech understanding into consideration.
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