A hearing prosthesis arrangement is described for a hearing assisted patient. A microphone senses an acoustic environment around the hearing assisted patient and generates a corresponding microphone output signal. An audio signal processor processes the microphone output signal and produces a corresponding prosthesis stimulation signal to the patient for audio perception. The audio signal processor includes a dereverberation process that measures a dedicated reverberation reference signal produced in the acoustic environment to determine reverberation characteristics of the acoustic environment, and reduces reverberation effects in the hearing prosthesis stimulation signal based on the reverberation characteristics.

A hearing aid device is provided. The hearing aid device at least includes a neckband and a first microphone. The neckband is worn on a neck of a user. The neckband defines a virtual datum plane and a first virtual plane parallel to each other, wherein the virtual datum plane overlaps a coronal plane of the user when the neckband is worn by the user, and a skin portion, furthest from the virtual datum plane, of a throat of the user is located on the first virtual plane. The first virtual plane is distant from the virtual datum plane by the first distance. The first microphone is disposed on the neckband, and is distant from the virtual datum plane by the second distance, wherein the second distance is less than the first distance.

A system creates an audio profile. The audio profile may be stored in a database. For example, the audio profile may be securely stored in a database of a social network and associated with a user account. The audio profile may contain data describing the way in which the specific user hears and interprets sounds. Systems and applications which present sounds to the user may access the audio profile and modify the sounds presented to the user based on the data in the audio profile to enhance the audio experience for the user.

Scene and/or state information may be used to facilitate processing an input to separate one or more signals within the input, to shape the signal within the input, and/or for other processing of the input or signal(s) within the input. A scene determination may be made based upon location data, time data, data describing the received input, or other basis. A state determination may be made based upon the scene determination, properties of a signal itself, or other information such as location, time, etc. By determining an appropriate scene and/or state, processing of an input and/or a signal within an input may proceed in a fashion determined to provide the most valuable information for output. Systems and methods in accordance with the invention may be implemented in a wide variety of baseband processing systems, such as hearing aids and energy consumption monitoring systems.

A sound adjustment method includes the following steps: obtaining a sound signal including frequency bands with a corresponding original sound pressure level value; converting the original sound pressure level value of each frequency band into a corresponding loudness level value; adjusting each loudness level value by a preset loudness level value to obtain an adjusted loudness level value of each frequency band; converting each adjusted loudness level value into a corresponding adjusted sound pressure level value; calculating a target sound pressure level value of each frequency band according to the original sound pressure level of each frequency band and each adjusted sound pressure level value; adjusting the original sound pressure level value of each frequency band by each target sound pressure level value to obtain an adjusted sound signal; outputting the adjusted sound signal.

A method for evaluating hearing of a user comprising: generating a baseline hearing profile for the user comprising a set of gain values based on a volume setting, each gain value in the set of gain values corresponding to a frequency band in a set of frequency bands; accessing a soundbite comprising a phrase characterized by a frequency spectrum predominantly within one frequency band; playing the soundbite amplified by a first gain in the frequency band; playing the soundbite amplified by a second gain in the frequency band; receiving a preference input representing a preference of the user from amongst the soundbite amplified by the first gain and the soundbite amplified by the second; and modifying a gain value, corresponding to the frequency band, in the baseline hearing profile based on the preference input to generate a refined hearing profile compensating for hearing deficiency of the user.

A method, comprising receiving at least one sound at an electronic device. The at least one sound is enhanced for the at least one user based on a compound metric. The compound metric is calculated using at least two sound metrics selected from an engineering metric, a perceptual metric, and a physiological metric. The engineering metric comprises a difference between an output signal and a desired signal. At least one of the perceptual metric and the physiological metric is based at least in part on input sensed from the at least one user in response to the received at least one sound.

A hearing aid device is provided. The hearing aid device at least includes a neckband and a first microphone. The neckband is worn on a neck of a user. The neckband defines a virtual datum plane and a first virtual plane parallel to each other, wherein the virtual datum plane overlaps a coronal plane of the user when the neckband is worn by the user, and a skin portion, furthest from the virtual datum plane, of a throat of the user is located on the first virtual plane. The first virtual plane is distant from the virtual datum plane by the first distance. The first microphone is disposed on the neckband, and is distant from the virtual datum plane by the second distance, wherein the second distance is less than the first distance.

An electronic device and an equalizer adjustment method thereof are disclosed. The method comprises the steps of: storing a list of age gain values, the list of age gain values comprising a plurality of age segments, respectively increasing from the first age segment to the Nth age segment, each of the age segments comprising a group correcting parameters, the group correcting parameters including a plurality of compensation gain values respectively corresponding to a plurality of target frequency, and the compensation gain values in the same target frequency are increased as N increases; obtaining an age data of an user; obtaining the target age segment, wherein the target age segment is one of the age segments; obtaining the group correction parameter corresponding to the target age segment; and adjusting a gain value setting of the equalizer to sound at different frequencies according to the group correction parameter.

A method of signal processing to generate hearing implant stimulation signals for a hearing implant system includes transforming an input sound signal into band pass signals each representing an associated frequency band of audio frequencies. The band pass signals are processed in a sequence of sampling time frames and iterative steps to produce a noise power estimate. This includes using a noise prediction model to determine if a currently observed signal sample includes a target signal, and if so, then updating a current noise power estimate without using the currently observed signal sample, and otherwise updating the current noise power estimate using the currently observed signal sample. The noise prediction model also is adapted based on the updated noise power estimate. The hearing implant stimulation signals are then developed from the band pass signals and the noise power estimate.