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1. WO2020139485 - TRANSPARENT SOUND DEVICE

Note: Text based on automatic Optical Character Recognition processes. Please use the PDF version for legal matters

[ EN ]

CLAIMS

What is claimed is:

1. An in-ear device, comprising:

a housing shaped to hold the in-ear device in an ear of a user;

an audio package, disposed in the housing, to emit augmented sound;

a first set of one or more microphones positioned to receive external sound; and a controller coupled to the audio package and the first set of one or more microphones, the controller including a low-latency audio processing path and digital control parameters, wherein the controller includes logic that when executed by the controller causes the in-ear device to perform operations, including:

receiving the external sound with the first set of one or more microphones to generate a low-latency sound signal;

augmenting the low-latency sound signal by passing the low-latency sound signal through the low-latency audio processing path to produce an augmented sound signal, wherein the digital control parameters include weights to bias circuits in the low-latency audio processing path, and wherein the digital control parameters are derived from a model of the user’s anatomy; and

outputting, with the audio package, the augmented sound based on the augmented sound signal.

2. The in-ear device of claim 1, wherein the low-latency audio processing path includes at least one of analog circuity, a digital signal processor, application specific integrated circuitry, or a field programmable gate array.

3. The in-ear device of claim 1, wherein the user’s anatomy includes at least one of head size, head shape, ear shape, or ear location.

4. The in-ear device of claim 1, wherein the digital control parameters are included in a control file.

5. The in-ear device of claim 2, wherein the digital control parameters are generated using a machine learning algorithm that receives the model of the user’s anatomy and outputs the digital control parameters for the control file.

6. The in-ear device of claim 5, further comprising communications circuitry, wherein the controller further includes logic that when executed by the controller causes the in-ear device to perform operations, including:

communicating, using the communications circuitry, with an external device to receive an updated control file including second digital control parameters that are different than the digital control parameters.

7. The in-ear device of claim 6, wherein the communications circuitry includes a wireless transceiver to communicate with the external device.

8. The in-ear device of claim 1, wherein the housing at least partially occludes a canal of the ear, and wherein the augmented sound provides at least partial sound transparency to the user.

9. The in-ear device of claim 1, further comprising a second set of one or more microphones coupled to the controller and positioned to face into the ear of the user, wherein the first set of one or more microphones is posited to face away from the user, wherein the controller further includes logic that when executed by the controller causes the in-ear device to perform operations, including:

recording the external sound with the second set of one or more microphones to generate the low-latency sound signal.

10. The in-ear device of claim 1, wherein the digital control parameters are stored in a memory in the controller.

11. A method of programming and operating an audio device, comprising:

receiving image data including data describing at least part of a user’s head; converting the image data into a model of at least part of the user’s head; and generating, using a processing apparatus, a control file corresponding to the model, wherein the control file includes digital control parameters with weights to bias low-latency circuits in a low-latency audio processing path, and wherein the low-latency audio processing path is included in a controller of the audio device.

12. The method of claim 11, wherein generating the control file includes using an algorithm to generate the digital control parameters, and wherein the model is included in the inputs to the algorithm and the digital control parameters in are included in the outputs of the algorithm.

13. The method of claim 12, wherein the algorithm includes a deep neural network machine learning algorithm.

14. The method of claim 13, further comprising training the machine learning algorithm to output the digital control parameters using a plurality of head models and ground-truth digital control parameters, wherein the plurality of head models and ground-truth digital control parameters are located in a database coupled to communicate with the processing apparatus

15. The method of claim 12, wherein receiving image data includes receiving the image data from a camera disposed in a personal electronic device via a network.

16. The method of claim 12, wherein converting the image data into a model includes converting the image data into a three-dimensional point cloud.

17. The method of claim 11, further comprising sending the control file to the audio device via a network.

18. The method of claim 17, further comprising:

receiving external sound with a first set of one or more microphones to generate a low-latency sound signal, wherein the one or more microphones are coupled to the controller;

augmenting the low-latency sound signal by passing the low-latency sound signal through the low-latency audio processing path to produce an augmented sound signal, wherein the digital control parameters include weights to bias the low-latency circuits in the low-latency audio processing path; and

outputting, with an audio package, augmented sound which is generated based on the augmented sound signal.

19. The method of claim 18, wherein the augmented sound provides at least partial sound transparency to the user.

20. The method of claim 11, wherein the low-latency audio processing path includes mapping a plurality of microphone inputs to one or more audio outputs, wherein there are more microphone inputs than audio outputs.