@inproceedings{Elhilali2013b,
<br>abstract = {The cocktail party problem is a multi-faceted challenge which encompasses various aspects of auditory perception. Its processes underlie the brain's ability to detect, identify and classify sound objects; to robustly represent and maintain speech intelligibility amidst severe distortions; and to guide actions and behaviors in line with complex goals and shifting acoustic soundscapes. Here, we present a perspective that considers the powerful Bayesian inference as a unifying framework to integrate the role of sensory cues as well as stimulus-driven priors and top-down schemas including attention.},
<br>author = {Elhilali, Mounya},
<br>booktitle = {35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
<br>doi = {10.1109/EMBC.2013.6610120},
<br>isbn = {978-1-4577-0216-7},
<br>issn = {1557170X},
<br>pages = {2792--2795},
<br>title = {{Bayesian inference in auditory scenes}},
<br>url = {http://ieeexplore.ieee.org/document/6610120/},
<br>volume = {2013},
<br>year = {2013}
<br>}