Ear-worn electronic device employing user-initiated acoustic environment adaptation

An ear-wearable device that includes at least one microphone and is configured to be worn in, on, or about an ear of a user, wherein the ear-wearable device is configured to:

• store a plurality of parameter value sets, each of the parameter value sets associated with a different acoustic environment;
• classify an acoustic environment of the user using sound sensed by the at least one microphone;
• infer a listening intent preference of the user based on receiving user input specifying an adaptation mode selected from:
• a best sound mode;
• a noise reduction mode;
• and
• an enhancement of speech mode;
• and
• apply, in response to the user input, one of the parameter value sets to a captured audio stream to deliver processed sound through the ear-wearable electronic device, the processed sound being appropriate for the classified acoustic environment and consistent with the user input specifying the adaptation mode.

A method implemented by an ear-worn electronic device configured to be worn in, on, or about an ear of a user, the method comprising:

• storing a plurality of parameter value sets in the device, each of the parameter value sets associated with a different acoustic environment;
• classifying an acoustic environment of the user using sound sensed by the device;
• inferring a listening intent preference of the user based on receiving user input specifying an adaptation mode selected from:
• a best sound mode;
• a noise reduction mode;
• and
• an enhancement of speech mode;
• and
• applying, in response to the user input, one of the parameter value sets to a captured audio stream to deliver processed sound through the device, the processed sound being appropriate for the classification and consistent with the user input specifying the adaptation mode.

A non-transitory computer-readable medium that stores instructions configured to cause a computing device to:

• store a plurality of parameter value sets in the device, each of the parameter value sets associated with a different acoustic environment;
• classify an acoustic environment of the user using sound sensed by the device;
• inferring a listening intent preference of the user based on receiving user input specifying an adaptation mode selected from:
• a best sound mode;
• a noise reduction mode;
• and
• an enhancement of speech mode;
• and
• apply, in response to the user input, one of the parameter value sets to a captured audio stream to deliver processed sound through the device, the processed sound being appropriate for the classification and consistent with the user input specifying the adaptation mode.