Auditory models link acoustic stimulus features to perceived attributes computationally.

Evidence

Human auditory perception has been modelled at many different levels. The principle is to build computational models of acoustic, physiological, or neural mechanisms that estimate the relation of perceived auditory attributes resulting from the presentation of stimuli with certain acoustic attributes. Ideally, the ear canal signals are fed into the system, and the auditory attributes that subjects perceive, on average, are estimated without bias or noise. — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 820

Categorization

• DEFINE: Defines what computational modeling of auditory perception aims to do — map ear canal signals to what subjects report hearing.
• XREF: Connects to the reader’s work on Deep Listening and soundscape — a model that predicts subjective auditory attributes from acoustic input is the computational backbone for soundscape design applications. — connects to: Soundscape meaning operates at three semantic levels from sources to emergent descriptors — Almo Farina, Soundscape Ecology: Principles,…, 960; Psychoacoustics quantifies physical sound signals into perceived auditory attributes — Almo Farina, Soundscape Ecology: Principles,…, 976; Hearing acts as a spectral analyser extracting quantifiable perceptual metrics from sound — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 1572