Sound source localization methods based on robot head motion and ITD data are proposed.
Multiple sources with overlapping spectra are localized with binaural inputs in non-anechoic spaces.
The data fitting method separates the sources based on correlogram changing patterns.
An EKF is established for each sound source to keep track of it during self-motion.