Abstract: Estimating inner and middle ear pathologies and conditions, such as issues caused by effusion in the ear, from wideband acoustic immittance can be accomplished by use of an analog-electric model of an ear canal and inner ear. The model is utilized to convert acoustic measurements into output data. The output data can be used to train a machine learning network to identify classifiers that would indicate the presence of an issue in the ear, such as the presence and amount of effusion in the ear. The model is based upon ear mechanics and includes a number of inputs from the acoustic measurements that are fit and converted to the output data that can be compared to measured data for hearing loss to train a system to quickly and easily diagnose an estimated effusion volume or other condition, such as via a diagnostic tool.

Abstract: Estimating conductive hearing loss from wideband acoustic immittance can be accomplished by use of an analog-electric model of an ear canal and inner ear utilized to convert acoustic measurements into output data. The output data can be used to create conductive hearing loss methods for diagnostically estimating hearing loss based upon the acoustic measurements. The model includes a number of inputs from the acoustic measurements that are fit and converted to the output data that can be compared to measured data for hearing loss to train a system to quickly and easily diagnose an estimated hearing loss, such as via a diagnostic tool. The system can also be trained to identify an ear type based upon the transformed acoustic measurement data, and the type of ear can be used to provide additional hearing loss estimation.

Abstract: Method and systems (e.g., for use in hearing aids, IAPs, etc) to process an audio signal include receiving an audio signal input; separating the audio signal input into a plurality of frequency bands; and compressing each of the plurality of frequency bands. Compressing each respective frequency band of the plurality of frequency bands may include applying a time-varying gain to each respective frequency band based on a suppressive level for the respective frequency band resulting in a compressed respective frequency band (e.g., wherein the suppressive level for the respective frequency band is dependent on the audio signal input level of one or more frequency bands adjacent to the respective frequency band to which the gain is applied). The compressed respective frequency bands may be combined for use in providing an audio signal.

Abstract: Method and systems (e.g., for use in hearing aids, IAPs, etc) to process an audio signal include receiving an audio signal input; separating the audio signal input into a plurality of frequency bands; and compressing each of the plurality of frequency bands. Compressing each respective frequency band of the plurality of frequency bands may include applying a time-varying gain to each respective frequency band based on a suppressive level for the respective frequency band resulting in a compressed respective frequency band (e.g., wherein the suppressive level for the respective frequency band is dependent on the audio signal input level of one or more frequency bands adjacent to the respective frequency band to which the gain is applied). The compressed respective frequency bands may be combined for use in providing an audio signal.