This paper attempts to provide a state-of-the-art of sound source localization in robotics.
Noticeably, this context raises original constraints—eg embeddability, real time, broadband …

Speech intelligibility is currently measured by scoring how well a person can identify a
speech signal. The results of such behavioral measures reflect neural processing of the …

Head-related transfer functions (HRTFs) describe the spatial filtering of acoustic signals by a
listener's anatomy. With the increase of computational power, HRTFs are nowadays more …

The Auditory Modeling Toolbox (AMT) is a MATLAB/Octave toolbox for the development and
application of computational auditory models with a particular focus on binaural hearing …

This paper considers the auditory attention detection (AAD) paradigm, where the goal is to
determine which of two simultaneous speakers a person is attending to. The paradigm relies …

When selectively attending to a speech stream in multi-talker scenarios, low-frequency
cortical activity is known to synchronize selectively to fluctuations in the attended speech …

To investigate the processing of speech in the brain, commonly simple linear models are
used to establish a relationship between brain signals and speech features. However, these …

Monaural spectral features are important for human sound-source localization in sagittal
planes, including front-back discrimination and elevation perception. These directional …

When we grow older, understanding speech in noise becomes more challenging. Research
has demonstrated the role of auditory temporal and cognitive deficits in these age-related …

To achieve accurate spatial auditory perception, subjects typically require personal head-
related transfer functions (HRTFs) and the freedom for head movements. Loudspeaker …