FastACI: a toolbox for investigating auditory perception using reverse correlation

Area of Science:

• Auditory Neuroscience
• Psychoacoustics
• Computational Auditory Processing

Background:

• Auditory reverse-correlation experiments are crucial for understanding how listeners process sound.
• Analyzing behavioral responses to stimuli with random fluctuations reveals perceptual weighting of acoustic features.
• Existing methods for data collection and analysis can be complex and time-consuming.

Purpose of the Study:

• To introduce the fastACI toolbox, a software package for auditory reverse-correlation experiments.
• To provide a flexible framework for designing, running, and analyzing auditory perception studies.
• To demonstrate the toolbox's utility through diverse case studies.

Main Methods:

• The fastACI toolbox offers tools for stimulus presentation and response recording in behavioral listening tasks.
• It enables the computation of auditory classification images (perceptual weight matrices).
• The toolbox supports various analysis options for exploring auditory mechanisms.

Main Results:

• The toolbox has been successfully applied to diverse auditory tasks, including tone-in-noise detection and phoneme categorization.
• Case studies demonstrate the toolbox's ability to replicate previous findings and analyze new data.
• The impact of noise type and estimation methods on auditory classification image quality can be quantified.

Conclusions:

• The fastACI toolbox provides a comprehensive and flexible solution for auditory reverse-correlation research.
• It facilitates the investigation of various auditory processing mechanisms.
• The toolbox aids in understanding the acoustic features critical for auditory perception and task performance.