Predicting real-ear-to-coupler differences based on clinical immittance measures of the middle ear

A system for verifying effectiveness of a hearing aid device, comprising:

• a clinical device for obtaining a wideband acoustic immittance (WAI) measurement from an ear canal;
• the device operatively connected to a computer readable medium configured to:
• obtain the WAI measurement from the ear canal;
• modeling the WAI measurement to obtain an estimated ear canal volume;
• utilizing the estimated ear canal volume and an age to predict an immittance-based RECD.

A method for estimating the effectiveness of a hearing aid device, comprising:

• obtaining WAI measurement from an ear canal;
• modeling the WAI measurement;
• and
• using a machine-learned network to achieve an immittance-predicted RECD, wherein the machine-learned network is trained with a method comprising:
• identifying classifiers of the modeled WAI measurement, wherein the classifiers comprise estimated ear canal volume;
• combining the classifiers with a known age-based average real-ear-to-coupler difference (RECD);
• and
• statistically modeling the combination to result in the immittance-predicted RECD;
• wherein the immittance-predicted RECD estimates the effectiveness of the hearing aid device.