Machine learning based hearing assistance system
AssigneeMun Hoong Leong
InventorsMun Hoong Leong, An Qiang Henley Leong
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Abstract
A hearing assistance device including: a microphone arranged to receive sound of an environment in which the hearing assistance device is located; a wireless communication device arranged to wirelessly communicate data with an external device; a controller operably connected with the microphone and arranged to process the received sound using sound processing settings that have been determined using a trained machine learning processing model; and a speaker operably connected with the controller and arranged to output the processed sound. The sound processing settings have been determined using the trained machine learning processing model based on a hearing response of a user and one or more properties of the environment.
Claims34
A hearing assistance device comprising:
- a microphone arranged to receive sound of an environment in which the hearing assistance device is located;
- a wireless communication device arranged to wirelessly communicate data with an external device;
- a memory storing a trained machine learning processing model;
- a controller operably connected with the microphone and arranged to process the received sound using sound processing settings that have been determined at the controller using the trained machine learning processing model;
- and
- a speaker operably connected with the controller and arranged to output the processed sound;
- wherein the sound processing settings have been determined using the trained machine learning processing model based on a hearing response of a user and one or more properties of the environment.
A server for facilitating operation of a hearing assistance device of a user, the server comprising:
- a controller arranged to:
- receive data associated with multiple users and their respective hearing assistance device, the data including a hearing response of the respective user, one or more properties of respective environment in which the respective hearing assistance device is located, and respective user input associated with adjustment of sound processing settings of the environment;
- and
- train a machine learning training model using the received data from the multiple users to obtain a trained machine learning training model, the trained machine learning training model being arranged to determine sound processing settings for use in the hearing assistance device of the user.
A method for facilitating operation of a hearing assistance device of a user, comprising:
- receiving, at a server, data associated with multiple users and their respective hearing assistance device, the data including a hearing response of the respective user, one or more properties of environment in which the respective hearing assistance device is located, and respective user input associated with adjustment of sound processing settings of the environment;
- and
- training, at the server, a machine learning training model using the received data to obtain a trained machine learning training model.
A hearing assistance device comprising:
- a microphone arranged to receive sound of an environment in which the hearing assistance device is located;
- a wireless communication device arranged to wirelessly communicate data with an external device;
- a camera arranged to capture an image of the environment;
- a controller operably connected with the microphone and arranged to
- process the image to determine crowdedness of the environment for use in determining sound processing settings, and
- process the received sound using the sound processing settings that have been determined using a trained machine learning processing model, and
- a speaker operably connected with the controller and arranged to output the processed sound;
- wherein the sound processing settings have been determined using the trained machine learning processing model based on, at least, a hearing response of a user, the determined crowdedness of the environment, and a sound profile or ambient noise profile of the environment.
Dependencies are inferred from the claim text.