Abstract: A new hearing aid system is provided that facilitates determination of listening performance of a user of the hearing aid system and adjustment of a hearing aid for improved listening performance.

Abstract: A new hearing aid system is provided that includes geographical position and user feedback in determining the category of the sound environment for automatic adjustment of signal processing parameters.

Abstract: A new hearing aid system is provided that facilitates determination of listening performance of a user of the hearing aid system and adjustment of a hearing aid for improved listening performance.

Abstract: A system for establishing a hearing ability model of a hearing ability of a person, includes a data storage configured to store a representation of a distribution of a hearing ability of a population of individuals, and a processor configured to establish a hearing ability model representing a hearing ability of the person based at least in part on (i) information regarding a person's response to a stimulus of a hearing evaluation event, and (ii) the representation of the distribution of the hearing ability of the population.

Abstract: A new hearing aid system is provided that facilitates determination of listening performance of a user of the hearing aid system and adjustment of a hearing aid for improved listening performance.

Abstract: In a hearing aid with a signal processor for signal processing in accordance with selected values of a set of parameters ?, a method of automatic adjustment of a set z of the signal processing parameters ?, using a set of learning parameters ? of the signal processing parameters ? is provided, wherein the method includes extracting signal features u of a signal in the hearing aid, recording a measure r of an adjustment e made by the user of the hearing aid, modifying z by the equation z=u?+r, and absorbing the user adjustment e in ? by the equation ?N=?(u,r)+?P, wherein ?N is the new values of the learning parameter set ?, ?P is the previous values of the learning parameter set ?, and ? is a function of the signal features u and the recorded adjustment measure r.

Abstract: The present invention relates to a method for automatic adjustment of signal processing parameters in a hearing aid. It is based on an interactive estimation process that incorporates user feedback. The method is capable of incorporating user perception of sound reproduction, such as sound quality over time. The user may fine-tune the hearing aid using a volume-control wheel or a push-button on the hearing aid housing, which is linked to an adaptive parameter that is a projection of a relevant parameter space. For example, this new parameter could control simple volume, the number of active microphones, or a complex trade-off between noise reduction and signal distortion. By turning the “personalization wheel” in accordance with user preferences and absorbing these preferences in the model resident in the hearing aid, it is possible to absorb user preferences while the user wears the hearing aid device in the field.

Abstract: A method includes: processing the digital audio input signal to generate M delayed digital audio signal samples; converting the delayed digital audio signal samples to frequency domain representation in N number of frequency bands to compute respective signal spectrum values; determining respective signal level estimates; computing respective frequency domain gain coefficients based on the respective signal level estimates and band gain laws; transforming the frequency domain gain coefficients to time domain representation to produce M time-varying filter coefficients of a processing filter; convolving the M delayed digital audio signal samples with the time-varying filter coefficients to produce the processed digital output signal; and updating the delayed digital audio signal samples in accordance with a sample-by-sample or a predetermined block rate; wherein two of the signal spectrum values for at least two of the frequency bands are updated at different rates; and wherein M and N are positive integer num

Abstract: The present invention relates to a new method for effective estimation of signal processing parameters in a hearing aid. It is based on an interactive estimation process that incorporates—possibly inconsistent—user feedback. In particular, the present invention relates to optimization of hearing aid signal processing parameters based on Bayesian incremental preference elicitation.

Abstract: A new hearing aid system is provided that includes geographical position and user feedback in determining the category of the sound environment for automatic adjustment of signal processing parameters.

Abstract: A hearing aid includes: an input transducer for provision of an audio signal in response to sound; a hearing loss model for calculation of a hearing loss as a function of a signal level of the audio signal; and a probabilistic hearing loss compensator that is configured to process the audio signal into a hearing loss compensated audio signal in such a way that the hearing loss is restored to normal hearing in accordance with the hearing loss model.

Abstract: A method of adjusting a signal processing parameter for a first hearing aid and a second hearing aid forming parts of a binaural hearing aid system to be worn by a user is provided. The binaural hearing aid system comprises a user specific model representing a desired asymmetry between a first ear and a second ear of the user. The method includes detecting a request for processing a parameter change at the first hearing aid, adjusting the signal processing parameter in the first hearing aid, and adjusting a processing parameter for the second hearing aid based on the request for processing parameter change and the user specific model.

Abstract: In a hearing aid with a signal processor for signal processing in accordance with selected values of a set of parameters ?, a method of automatic adjustment of a set z of the signal processing parameters ?, using a set of learning parameters ? of the signal processing parameters ? is provided, wherein the method includes extracting signal features u of a signal in the hearing aid, recording a measure r of an adjustment e made by the user of the hearing aid, modifying z by the equation z=u ?+r, and absorbing the user adjustment e in ? by the equation ?N=?(u,r)+?P, wherein ?N is the new values of the learning parameter set ?, ?P is the previous values of the learning parameter set ?, and ? is a function of the signal features u and the recorded adjustment measure r.

Abstract: A system for establishing a hearing ability model of a hearing ability of a person, includes a data storage configured to store a representation of a distribution of a hearing ability of a population of individuals, and a processor configured to establish a hearing ability model representing a hearing ability of the person based at least in part on (i) information regarding a person's response to a stimulus of a hearing evaluation event, and (ii) the representation of the distribution of the hearing ability of the population.

Abstract: An individual with a hearing loss often experiences at least two distinct problems: 1) the hearing loss itself i.e. an increase in hearing threshold level, and 2) a signal-to-noise ratio loss (SNR loss) i.e. a loss of ability to understand high level speech in noise as compared to normal hearing individuals. According to one aspect of the present invention, this problem is solved by selecting parameter values of a noise reduction algorithm or algorithms based on the individual user's SNR loss. Thereby, a degree of restoration/improvement of the SNR of noise-contaminated input signals of the hearing prosthesis has been made dependent on user specific loss data. According to another aspect of the present invention, a hearing prosthesis capable of controlling parameters of a noise reduction algorithms in dependence on the user's current listening environment as recognized and indicated by the environmental classifier has been provided.

Abstract: A method of adjusting a signal processing parameter for a first hearing aid and a second hearing aid forming parts of a binaural hearing aid system to be worn by a user is provided. The binaural hearing aid system comprises a user specific model representing a desired asymmetry between a first ear and a second ear of the user. The method includes detecting a request for processing a parameter change at the first hearing aid, adjusting the signal processing parameter in the first hearing aid, and adjusting a processing parameter for the second hearing aid based on the request for processing parameter change and the user specific model.

Abstract: The present invention relates to a method for automatic adjustment of signal processing parameters in a hearing aid. It is based on an interactive estimation process that incorporates user feedback. The method is capable of incorporating user perception of sound reproduction, such as sound quality over time. The user may fine-tune the hearing aid using a volume-control wheel or a push-button on the hearing aid housing, which is linked to an adaptive parameter that is a projection of a relevant parameter space. For example, this new parameter could control simple volume, the number of active microphones, or a complex trade-off between noise reduction and signal distortion. By turning the “personalization wheel” in accordance with user preferences and absorbing these preferences in the model resident in the hearing aid, it is possible to absorb user preferences while the user wears the hearing aid device in the field.

Abstract: The present invention relates to a new method for effective estimation of signal processing parameters in a hearing aid. It is based on an interactive estimation process that incorporates—possibly inconsistent—user feedback. In particular, the present invention relates to optimization of hearing aid signal processing parameters based on Bayesian incremental preference elicitation.

Abstract: An individual with a hearing loss often experiences at least two distinct problems: 1) the hearing loss itself i.e. an increase in hearing threshold level, and 2) a signal-to-noise ratio loss (SNR loss) i.e. a loss of ability to understand high level speech in noise as compared to normal hearing individuals. According to one aspect of the present invention, this problem is solved by selecting parameter values of a noise reduction algorithm or algorithms based on the individual user's SNR loss. Thereby, a degree of restoration/improvement of the SNR of noise-contaminated input signals of the hearing prosthesis has been made dependent on user specific loss data. According to another aspect of the present invention, a hearing prosthesis capable of controlling parameters of a noise reduction algorithms in dependence on the user's current listening environment as recognized and indicated by the environmental classifier has been provided.

Abstract: A signal processing system for detecting the presence of a desired signal component by applying a probabilistic description to the classification and tracking of various signal components (e.g., desired versus non-desired signal components) in an input signal is disclosed.