A Survey on Probabilistic Models in Human Perception and Machines

A Survey on Probabilistic Models in Human Perception and Machines

Extracting information from noisy signals is of fundamental importance for both biological and artificial perceptual systems. To provide tractable solutions to this challenge, the fields of human perception and machine signal processing (SP) have developed powerful computational models, including Ba...

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Bibliographic Details
Main Authors: Lux Li, Robert Rehr, Patrick Bruns, Timo Gerkmann, Brigitte Röder
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-07-01
Series:Frontiers in Robotics and AI
Subjects:
signal processing
multisensory perception
audiovisual integration
optimal cue integration
causal inference
speech enhancement
Online Access:https://www.frontiersin.org/article/10.3389/frobt.2020.00085/full

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https://www.frontiersin.org/article/10.3389/frobt.2020.00085/full

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