Individual differences in auditory scene analysis abilities in music and speech.

Area of Science:

• Auditory perception
• Cognitive psychology
• Psychoacoustics

Background:

• Auditory scene analysis (ASA) is crucial for interpreting complex sound environments, including speech and music.
• Individual variability in ASA is significant but not fully explained by factors like age, hearing status, working memory, or musical background.
• Understanding these factors is key to addressing challenges in auditory perception.

Purpose of the Study:

• To investigate the factors influencing auditory scene analysis (ASA) in both music and speech domains.
• To examine the roles of hearing loss, age, working memory capacity (WMC), and musical training in ASA performance.
• To introduce and utilize a novel music-based ASA task, the Musical Scene Analysis (MSA) test.

Main Methods:

• Ninety-two participants were grouped by age and hearing status (normal-hearing vs. hearing-impaired).
• A speech-in-noise test and the new Musical Scene Analysis (MSA) test were administered.
• Ridge regression and gradient-boosted decision trees were used for dual modeling analysis.

Main Results:

• A moderate correlation (r=-.5) was found between music and speech ASA performance, indicating shared perceptual mechanisms.
• Hearing loss was the primary predictor for speech ASA, with age also playing a role; WMC and musical training did not significantly impact speech ASA.
• Musical training strongly influenced musical ASA, with hearing loss and age also showing moderate effects; WMC had a minimal, non-robust impact.

Conclusions:

• Auditory scene analysis in music and speech involves both common and distinct underlying factors.
• Hearing loss is a critical determinant of speech-based ASA, whereas musical training is key for musical ASA.
• Individual differences in auditory perception are shaped by a complex interplay of sensory, cognitive, and experiential factors.