Auditory memories
AssigneeBang & Olufsen A/S
InventorOliver Scheuregger
Life of this patent
Estimating the term…
Abstract
Techniques for generating an auditory memory for an auditory event are described. An example technique includes obtaining a first audio content associated with an event in an environment. At least one attribute of the environment is determined, based on evaluating the first audio content. At least one emotional attribute associated with the event in the environment is determined, based on evaluating the first audio content. A second audio content is determined, based at least in part on the at least one attribute of the environment. A third audio content is determined, based at least in part on the at least one emotional attribute. An auditory memory including fourth audio content associated with the event in the environment is generated, based on the first audio content, the second audio content, and the third audio content.
Claims20
A computer-implemented method performed by a computing device, comprising:
- obtaining a first audio content, wherein the first audio content is associated with an event in an environment;
- determining at least one attribute of the environment, based on evaluating the first audio content with a first machine learning (ML) algorithm;
- determining at least one emotional attribute associated with the event in the environment, based on evaluating the first audio content with a second ML algorithm;
- determining a second audio content, based at least in part on the at least one attribute of the environment;
- determining a third audio content, based at least in part on the at least one emotional attribute;
- and
- generating an auditory memory comprising fourth audio content associated with the event in the environment, based on the first audio content, the second audio content, and the third audio content.
A computing device comprising:
- a processor;
- and
- a memory storing instructions, which, when executed on the processor perform an operation comprising:
- obtaining a first audio content, wherein the first audio content is associated with an event in an environment;
- determining at least one attribute of the environment, based on evaluating the first audio content with a first machine learning (ML) algorithm;
- determining at least one emotional attribute associated with the event in the environment, based on evaluating the first audio content with a second ML algorithm;
- determining a second audio content, based at least in part on the at least one attribute of the environment;
- determining a third audio content, based at least in part on the at least one emotional attribute;
- and
- generating an auditory memory comprising fourth audio content associated with the event in the environment, based on the first audio content, the second audio content, and the third audio content.
A non-transitory computer-readable medium comprising computer executable code, which when executed by one or more processors, performs an operation comprising:
- obtaining a first audio content, wherein the first audio content is associated with an event in an environment;
- determining at least one attribute of the environment, based on evaluating the first audio content with a first machine learning (ML) algorithm;
- determining at least one emotional attribute associated with the event in the environment, based on evaluating the first audio content with a second ML algorithm;
- determining a second audio content, based at least in part on the at least one attribute of the environment;
- determining a third audio content, based at least in part on the at least one emotional attribute;
- and
- generating an auditory memory comprising fourth audio content associated with the event in the environment, based on the first audio content, the second audio content, and the third audio content.
Dependencies are inferred from the claim text.