Abstract

The left-right signal correspondence problem, that is considered as one of the most prominent problems by visual stereoscopic computational models, is much ignored by computational auditory stereophonic models. The correspondence problem, which is trivial if only one acoustic source is present, is highly complicated for a multiple sources environment. We present a computational model able to perform localization of natural complex acoustic signals (one or two human speakers). The model relies mainly on computing the cross-correlation functions of selected frequency channels arriving at the two ears, and performing a weighted integration on these functions. Thus, first attempts are made to establish a correspondence between acoustic features of the two channels. Preliminary results show that this model, which might be compared to “early vision” models in computational vision research, can serve as a first step in analyzing the acoustic scene.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.