Ai-based automatic steering for hearing devices

A hearing device comprising:

• an input device;
• an output device;
• a processor;
• and
• a memory having non-transitory computer-readable instructions for automatically steering the hearing device, wherein, upon execution of the instructions, the processor is configured to:
• receive an audio signal via the input device;
• generate a first set of embeddings based on the audio signal, the first set of embeddings are associated with a first embedding space;
• transform the first set of embeddings to a second set of embeddings, the second set of embeddings are associated with a second embedding space, the second embedding space includes a plurality of regions;
• select a region of the plurality of regions based on the second set of embeddings;
• process the audio signal with one or more signal processing transformations associated with the region;
• and
• render the processed audio signal with the output device.

A non-transitory computer-readable medium having instructions stored thereon that, upon execution by a computing device, cause the computing device to perform operations comprising:

• applying one or more first signal processing transformations to audio samples of a training audio dataset to generate an expanded audio dataset, wherein the one or more first signal processing transformations are applied at one or more predetermined levels, and each audio sample of the expanded audio dataset is associated with a sound quality metric value;
• generating a first set of embeddings by mapping the expanded audio dataset to a high-dimensional embedding space, wherein each audio sample of the expanded audio dataset is associated with an embedding in the first set of embeddings;
• projecting the first set of embeddings into a low-dimensional embedding space to transform the first set of embeddings into a second set of embeddings, wherein each audio sample of the expanded audio dataset is associated with an embedding in the second set of embeddings;
• partitioning the low-dimensional embedding space into a plurality of regions, wherein each region is associated with a subset of the second set of embeddings;
• assigning a representative sound quality metric value to each region based on sound quality metric values associated with audio samples within each region;
• and
• determining and assigning one or more second signal processing transformations to each region, wherein the one or more second signal processing transformations increase the respective sound quality metric value for each region.