Speech Extraction from Jammed Signals in Dual-Microphone Systems

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.

Important Links:

Go Back