Physiological motivated transmission-lines as front end for loudness models

Area of Science:

• Auditory Neuroscience
• Psychoacoustics
• Computational Auditory Modeling

Background:

• Loudness perception is heavily influenced by peripheral auditory processing.
• Current loudness models often use functional approaches, limiting direct links to physiological measurements.
• Physiologically motivated models are needed for advanced auditory processing research.

Purpose of the Study:

• To develop and evaluate a novel loudness model incorporating physiologically accurate peripheral auditory processing.
• To enable direct correlation between objective measures of cochlear function and subjective loudness perception.
• To improve the physiological realism of computational auditory models.

Main Methods:

• Two active and nonlinear transmission-line models (TLMs) of the cochlea were employed as the peripheral auditory processing stage.
• A generic back-end integrating basilar-membrane excitation across place and time was used for loudness estimation.
• The model's performance was compared against state-of-the-art loudness models.

Main Results:

• The proposed TLM-based loudness model achieved performance comparable to existing state-of-the-art models.
• The model accurately predicted loudness in sones, equal-loudness contours, and loudness as a function of bandwidth.
• The model demonstrated the ability to link physiological measures like otoacoustic emissions to loudness.

Conclusions:

• Physiologically motivated transmission-line models offer a viable and effective front-end for advanced loudness models.
• This approach provides a powerful tool for directly connecting objective measures of cochlear mechanics (e.g., otoacoustic emissions) with loudness perception.
• The model enhances our understanding of the relationship between peripheral auditory processing and the perception of loudness.