A method and software program is used by patients in situ for fitting and refitting of a DSP-based hearing assistance device. Hearing is tested by selection of one of twenty four playbacks of speech, for each ear. Cognitive training/testing exercises test and train the user to relearn to distinguish between various sounds and particularly speech using the hearing assistance device. The preferred cognitive training/testing includes noise detection exercises, spatial hearing exercises, volume recognition exercises and speech differentiation exercises. The regimens for using the hearing aid depend upon the measured cognitive loss, with different sets of DSP parameters for self-directed, non-assessed cognitive training.

A method and software program is used by patients in situ for fitting and refitting of a DSP-based hearing assistance device. Hearing is tested by selection of one of twenty four playbacks of speech, for each ear. Cognitive training/testing exercises test and train the user to relearn to distinguish between various sounds and particularly speech using the hearing assistance device. The preferred cognitive training/testing includes noise detection exercises, spatial hearing exercises, volume recognition exercises and speech differentiation exercises. The regimens for using the hearing aid depend upon the measured cognitive loss, with different sets of DSP parameters for self-directed, non-assessed cognitive training.

Systems and methods for adaption of telephonic signal are provided. A telephonic listener's demographic information is first received. Next, a set of preset parameters are retrieved from a database based on the demographic information. The preset parameters are calculated using hearing data, which is representative of a demographic group. These preset parameters are then outputted to a sound personalization digital signal processing (DSP) algorithm. A voice signal is then processed using the sound personalization DSP and the processed voice signal is then outputted at the listener's telephonic device.

Systems and methods for adaption of telephonic signal are provided. A telephonic listener's demographic information is first received. Next, a set of preset parameters are retrieved from a database based on the demographic information. The preset parameters are calculated using suprathreshold and/or threshold hearing data, which is representative of a demographic group. These preset parameters are then outputted to a sound personalization digital signal processing (DSP) algorithm. A voice signal is then processed using the sound personalization DSP and the processed voice signal is then outputted at the listener's telephonic device.

A method and software program is used by patients for fitting and refitting of a DSP-based hearing assistance device. An audiologist user interface and patient user interface include soundmaps and slidebars to control collections of hearing parameters within the DSP of the device. Based on cognitive testing and training of the patient, the range of adjustment allowed within at least the patient user interface is limited. The software therefore always maintains 100% safety for the patient and/or user to finetune the hearing aid parameters without worrying about selecting parameter values which would leading to slowing the cognitive learning of the patient.

A method and software program is used by patients in situ for fitting and refitting of a DSP-based hearing assistance device. Hearing is tested by selection of one of twenty four playbacks of speech, for each ear. Cognitive training/testing exercises test and train the user to relearn to distinguish between various sounds and particularly speech using the hearing assistance device. The preferred cognitive training/testing includes noise detection exercises, spatial hearing exercises, volume recognition exercises and speech differentiation exercises. The regimens for using the hearing aid depend upon the measured cognitive loss, with different sets of DSP parameters for self-directed, non-assessed cognitive training.

Systems and methods for adaption of telephonic signal are provided. A telephonic listener's demographic information is first received. Next, a set of preset parameters are retrieved from a database based on the demographic information. The preset parameters are calculated using suprathreshold and/or threshold hearing data, which is representative of a demographic group. These preset parameters are then outputted to a sound personalization digital signal processing (DSP) algorithm. A voice signal is then processed using the sound personalization DSP and the processed voice signal is then outputted at the listener's telephonic device.

A method for estimating an ear geometry of an ear of a user with a hearing device, the hearing device comprising an ear canal microphone, an external microphone, and a receiver, includes: obtaining an external input signal using the external microphone; providing an output signal by the receiver; obtaining an ear canal microphone input signal using the ear canal microphone; and estimating the ear geometry based on the external input signal and the ear canal microphone input signal.

Embodiments herein relate to systems, devices and methods for fitting hearing assistance devices. In a first aspect, a method of fitting a hearing assistance device is included, the method including providing an audio sample to a hearing assistance device wearer, receiving input from the hearing assistance device wearer regarding a preferred sound volume or perceived loudness, receiving input from the hearing assistance device wearer with the external device regarding a bass/treble balance, and determining a maximum power output of the hearing assistance device that does not exceed a loudness discomfort level (LDL). Other embodiments are also included herein.

An exemplary fitting system 1) directs an EAS system to concurrently apply acoustic stimulation to a patient by way of a loudspeaker and electrical stimulation to the patient by way of an electrode located within a cochlea of the patient, 2) determines an interactive effect that the electrical stimulation has on the acoustic stimulation, 3) directs, if the fitting facility determines that the interactive effect is suppressive, the EAS system to use a first stimulation strategy that steers a current field produced by stimulation of the electrode away from intracochlear acoustic responders within the patient that are associated with the acoustic stimulation, and 4) directs, if the fitting facility does not determine that the interactive effect is suppressive, the EAS system to use a second stimulation strategy that steers the current field produced by the stimulation of the electrode towards the intracochlear acoustic responders.