Audio Engineering Society talk

I’ve just received a link to the video of my AES in York – many thanks to Mariana Lopez and Cleo Pike for inviting and encouraging me to talk!

  • C. Pike and A. V. Beeston, “Applications of perceptual psychology and neuroscience to audio engineering problems,” in Audio Engineering Society, North of England Group Meeting, York, UK. Invited talk, 29 Jan, 2018.
    [BibTeX] [link] [slides] [watch]
    author = {Pike, Cleopatra and Beeston, Amy V},
    title = {{Applications of perceptual psychology and neuroscience to audio engineering problems}},
    booktitle = {{Audio Engineering Society, North of England Group Meeting}},
    year = {2018},
    address = {York, UK. Invited talk, 29 Jan},
    link = {},
    slides = {},
    watch = {},
    month = jan

More info:  [Audio Engineering Society] • [booking link]


Human psychology and neuroscience are involved in the design of many audio products. Firstly, they can be used to determine whether the products suit the needs of the people they aim to serve. ‘Human-technology interaction’ research is conducted to ascertain how humans respond to audio products – where they help and where they hinder. However, issues remain with this research, such as getting reliable reports from people about their experience.

Secondly, psychology and neuroscience can be used to solve engineering problems via ‘human inspired approaches’ (e.g. they can be used produce robots that listen like humans in noisy environments). To fulfil this aim audio engineers and psychologists must determine the biological and behavioural principles behind how humans listen. However, the human hearing system is a black-box which has developed over years of evolution. This makes understanding and applying human principles to technology challenging.

We discuss some of the benefits and issues involved in an interdisciplinary approach to developing audio products. We include examples from our research investigating how machine listeners might simulate human hearing in compensating for reverberation and spectral distortion, how machine listeners might achieve the perceptual efficiency of humans by optimally combining multiple senses, and how the input from tests on humans can be used to optimise the function of hearing aids.


Amy Beeston