Intelligent hearing aid

1. A method for use of an intelligent hearing aid device by a processor, comprising:

receiving and analyzing audio data for a user according to a plurality of user preferences and interests, historical activity patterns of the user, or a combination thereof, wherein analyzing the audio data includes estimating one or more predefined concerns of the user according to information received from social media communications and detected conversations, sounds, or tones determined to be of interest to the user;

identifying one or more hearing assistive actions in relation to the audio data; and

facilitating hearing of the user, using the one or more hearing assistive actions, according to the plurality of user preferences and interests, historical activity patterns of the user, or a combination thereof, wherein the facilitating includes filtering one or more portions of the audio data according to the one or more predefined concerns of the user relating to the audio data.

2. The method of claim 1 , further including:

defining the one or more hearing assistive actions as adjusting a physical property of sound generated by the intelligent hearing aid, adjusting a frequency or speed of the audio data, causing the intelligent hearing aid to perform one or more functions, issuing an alarm, extracting one or more keywords or phrases using natural language processing (“NLP”), translating the audio data into forms of structured data, engaging in an interactive dialog with the user to collect feedback in relation to the audio data, initiating one or more communications with a third party entity, or a combination thereof; or

analyzing the audio data to determine the one or more hearing assistive actions.

3. The method of claim 1 , further including accessing and monitoring one or more audio data sources to detect the audio data.

4. The method of claim 1 , further including dynamically recording and storing the audio data.

5. The method of claim 1 , further including identifying, from the audio data, one or more sources of the audio data, contextual factors associated with the of the audio data, one or more characteristics of the audio data, the one or more predefined concerns of the user, or a combination thereof.

6. The method of claim 1 , further including initiating a machine learning operation to learn the plurality of user preferences and interests, historical activity patterns of the user, a state of the user, the contextual factors associated with the audio data, the one or more characteristics of the audio data, the one or more predefined concerns of the user, the social media communications, feedback data collected from the user, or a combination thereof.

7. A system for use of an intelligent hearing aid device, comprising:

one or more computing components associated with the intelligent hearing aid with executable instructions that when executed cause the system to:

receive and analyze audio data for a user according to a plurality of user preferences and interests, historical activity patterns of the user, or a combination thereof, wherein analyzing the audio data includes estimating one or more predefined concerns of the user according to information received from social media communications and detected conversations, sounds, or tones determined to be of interest to the user;

identify one or more hearing assistive actions in relation to the audio data; and

facilitate hearing of the user, using the one or more hearing assistive actions, according to the plurality of user preferences and interests, historical activity patterns of the user, or a combination thereof, wherein the facilitating includes filtering one or more portions of the audio data according to the one or more predefined concerns of the user relating to the audio data.

8. The system of claim 7 , wherein the executable instructions further:

define the one or more hearing assistive actions as adjusting a physical property of sound generated by the intelligent hearing aid, adjusting a frequency or speed of the audio data, causing the intelligent hearing aid to perform one or more functions, issuing an alarm, extracting one or more keywords or phrases using natural language processing (“NLP”), translating the audio data into forms of structured data, engaging in an interactive dialog with the user to collect feedback in relation to the audio data, initiating one or more communications with a third party entity, or a combination thereof; or

analyzing the audio data to determine the one or more hearing assistive actions.

9. The system of claim 7 , wherein the executable instructions further access and monitor one or more audio data sources to detect the audio data.

10. The system of claim 7 , wherein the executable instructions further dynamically record and store the audio data.

11. The system of claim 7 , wherein the executable instructions further identify, from the audio data, one or more sources of the audio data, contextual factors associated with the of the audio data, one or more characteristics of the audio data, the one or more predefined concerns of the user, or a combination thereof.

12. The system of claim 7 , wherein the executable instructions further initiate a machine learning operation to learn the plurality of user preferences and interests, historical activity patterns of the user, a state of the user, the contextual factors associated with the audio data, the one or more characteristics of the audio data, the one or more predefined concerns of the user, the social media communications, feedback data collected from the user, or a combination thereof.

13. A computer program product for use of an intelligent hearing aid device by one or more processors, the computer program product comprising a non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:

an executable portion that receives and analyzes audio data for a user according to a plurality of user preferences and interests, historical activity patterns of the user, or a combination thereof, wherein analyzing the audio data includes estimating one or more predefined concerns of the user according to information received from social media communications and detected conversations, sounds, or tones determined to be of interest to the user;

an executable portion that identifies one or more hearing assistive actions in relation to the audio data; and

an executable portion that facilitates hearing of the user, using the one or more hearing assistive actions, according to the plurality of user preferences and interests, historical activity patterns of the user, or a combination thereof, wherein the facilitating includes filtering one or more portions of the audio data according to the one or more predefined concerns of the user relating to the audio data.

14. The computer program product of claim 13 , further including an executable portion that:

defines the one or more hearing assistive actions as adjusting a physical property of sound generated by the intelligent hearing aid, adjusting a frequency or speed of the audio data, causing the intelligent hearing aid to perform one or more functions, issuing an alarm, extracting one or more keywords or phrases using natural language processing (“NLP”), translating the audio data into forms of structured data, engaging in an interactive dialog with the user to collect feedback in relation to the audio data, initiating one or more communications with a third party entity, or a combination thereof; or

analyzes the audio data to determine the one or more hearing assistive actions.

15. The computer program product of claim 13 , further including an executable portion that:

accesses and monitors one or more audio data sources to detect the audio data; and

dynamically records and stores the audio data.

16. The computer program product of claim 13 , further including an executable portion that identifies from the audio data one or more sources of the audio data, contextual factors associated with the of the audio data, one or more characteristics of the audio data, the one or more predefined concerns of the user, or a combination thereof.

17. The computer program product of claim 13 , further including an executable portion that initiates a machine learning operation to learn the plurality of user preferences and interests, historical activity patterns of the user, a state of the user, the contextual factors associated with the audio data, the one or more characteristics of the audio data, the one or more predefined concerns of the user, the social media communications, feedback data collected from the user, or a combination thereof.