GENETIC ALGORITHMS WITH ROBUST RANK ESTIMATION FOR HEARING ASSISTANCE DEVICES
First Claim
1. A method of fitting a hearing assistance device for a user, comprising:
- presenting to the user using a computer stimulus pairs adapted to provide contrasting options for selection from a set of stimuli stored in the computer;
receiving inputs from the user entered into the computer, including preference judgments of the user;
calculating a score for each stimulus of the pair using the computer to execute a rank agreement function to maximize agreement between scores and the preference judgments;
selecting a set of genes based on the scores, wherein the set of genes correspond to hearing assistance device parameters; and
operating on the set of genes with a genetic algorithm using the assigned scores to obtain a child set of genes,wherein the child set is used to provide parameter values during fitting of the hearing assistance device.
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Accused Products
Abstract
Disclosed herein, among other things, is a method for fitting a hearing assistance device for a user using a genetic algorithm. Stimulus pairs are presented to the user using a computer, the stimulus pairs adapted to provide contrasting options for selection from a set of stimuli stored in the computer. Inputs are received from the user entered into the computer, including preference judgments of the user. A score is calculated for each stimulus of the pair using the computer to execute a rank agreement function to maximize agreement between scores and the preference judgments. A set of genes is selected based on the scores, where the set of genes correspond to hearing assistance device parameters. The set of genes is operated on with a genetic algorithm using the assigned scores to obtain a child set of genes. The child set is used to provide parameter values during fitting.
98 Citations
25 Claims
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1. A method of fitting a hearing assistance device for a user, comprising:
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presenting to the user using a computer stimulus pairs adapted to provide contrasting options for selection from a set of stimuli stored in the computer; receiving inputs from the user entered into the computer, including preference judgments of the user; calculating a score for each stimulus of the pair using the computer to execute a rank agreement function to maximize agreement between scores and the preference judgments; selecting a set of genes based on the scores, wherein the set of genes correspond to hearing assistance device parameters; and operating on the set of genes with a genetic algorithm using the assigned scores to obtain a child set of genes, wherein the child set is used to provide parameter values during fitting of the hearing assistance device. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method for fitting a hearing assistance device for a user using a computer executed process, comprising:
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selecting a first pair of stimuli from a population stored in computer memory, the first pair including a first and second sound stimulus representing at least one device parameter; presenting the user with the first and second sound stimulus using the hearing assistance device; presenting the user with a list of strength of preference judgments using the computer, the list including at least four options for the user to select from to provide feedback on which stimulus is preferred and the strength of preference; receiving the user selection; and using the user selection and a genetic algorithm to rank stimuli in the population using the computer. - View Dependent Claims (13, 14, 15, 16)
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17. An apparatus for fitting a hearing assistance device for a user using a computer executing a genetic algorithm, comprising:
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a computer memory having a first population stored therein, the first population including a plurality of stimuli; a processor executing instructions adapted to select stimulus pairs from the first population to present to the user using the hearing assistance device, the stimulus pairs including a first stimulus and a second stimulus; and a computer interface adapted to present preference judgment options to the user and to accept an input of a preference judgment between stimulus pairs; wherein the processor executes instructions adapted to assign a score to stimuli to maximize agreement between scores and preference judgments, and to perform a genetic algorithm using the scores to obtain a child set of stimuli, the child set used to provide parameter values during fitting of the hearing assistance device. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24, 25)
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Specification