System and method for audio enhancement of a consumer electronics device
AssigneeActiwave AB
InventorsPär Gunnars Risberg, Richard Kjerstadius, Landy Toth
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Abstract
Systems and methods for enhancing the audio experience on a consumer electronic device are disclosed. More particularly systems and methods for optimizing the audio performance of individual consumer electronic devices as part of a manufacturing process and/or retail experience are disclosed. A system for enhancing the audio performance of a consumer electronic device including a parametrically configurable processing block is disclosed.
Claims16
A system for optimizing audio performance of a consumer electronics device comprising:
- an audio testing component for deriving an audio test dataset of a plurality of audio test datasets from the consumer electronics device;
- a master design record for outputting a reference dataset, wherein the master design record comprises at least a portion of a history of the audio test datasets and associated optimal audio parameters;
- an audio parameter generator comprising a probabilistic model for deriving one or more optimal audio parameters based on a comparison between the audio test dataset and the reference dataset;
- a machine learning algorithm for training the probabilistic model;
- and
- a programming unit to program the optimal audio parameters onto the consumer electronics device.
A tuning rig for optimizing acoustic performance of a consumer electronics device configured to accept one or more programmable audio parameters, comprising:
- an acoustic test chamber configured to accept the consumer electronics device;
- one or more microphones placed within the acoustic test chamber;
- and
- a workstation in operable communication with the consumer electronics device and the one or more microphones, configured to deliver one or more audio test signals to the consumer electronics device, receive one or more measured signals from the one or more microphones and/or the consumer electronics device, and to program at least a portion of the one or more programmable audio parameters,
- wherein the workstation comprises:
- an audio testing component for deriving an audio test dataset of a plurality of audio test datasets from the consumer electronics device;
- a master design record for outputting a reference dataset, wherein the master design record comprises at least a portion of a history of the audio test datasets and associated optimal audio parameters;
- an audio parameter generator for comprising a probabilistic model for deriving one or more optimal audio parameters based on a comparison between the audio test dataset and the reference dataset;
- a machine learning algorithm for training the probabilistic model;
- and
- a programming unit to program the optimal audio parameters onto the consumer electronics device.
A method for tuning audio performance of a consumer electronics device comprising:
- forming a master design record for the consumer electronics device comprising a reference audio parameter set and a reference audio test dataset, wherein the master design record includes at least a portion of a history of a plurality of audio test datasets and associated optimal audio parameters;
- uploading the reference audio parameter set to the consumer electronics device;
- performing an audio test on the consumer electronics device to form a test dataset of the plurality of audio test datasets;
- using a probabilistic model for deriving a tuned audio parameter set based on a comparison between the reference audio test data and the test dataset;
- training the probabilistic model via a machine learning algorithm;
- and
- uploading the tuned audio parameter set to the consumer electronics device.
Dependencies are inferred from the claim text.