Open-ended audio tracking system via audio foundational and large language models
AssigneeRobert Bosch GmbH
InventorsWei-Cheng LIN, Luca BONDI, Ho-Hsiang WU, Shabnam GHAFFARZADEGAN, Abinaya KUMAR
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AssigneeRobert Bosch GmbH
InventorsWei-Cheng LIN, Luca BONDI, Ho-Hsiang WU, Shabnam GHAFFARZADEGAN, Abinaya KUMAR
Estimating the term…
Methods for executing an open-ended audio tracking system are disclosed. A feedback loop between an audio foundational model (AFM) and a large language model (LLM) enables for both detection of low-level sound events in real-time and detection of high-level acoustic scenes, which are then used to generate additional text-based event descriptions that are applied in a subsequent iteration cycle of the system. The AFM may resemble a contrastive language-audio pre-training (CLAP) model that is configured to sound event detection, while the LLM receives the particular sound events that were detected and categorizes those events into an acoustic sound category that explains the environmental context of the sound events.
A hearing aid device, comprising:
A computer-implemented method for executing an open-ended audio tracking system, the method comprising:
A non-transitory, computer-readable medium storing program instructions that, when executed on or across a processor, cause the processor to:
Dependencies are inferred from the claim text.