Electroencephalogram assisted beamformer, beamforming method, and ear-worn hearing system

A shaper, EEG technology, applied in hearing aids, hearing aid signal processing, sensors, etc., to avoid sensitivity problems

Inactive Publication Date: 2020-02-21
STARKEY LAB INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Additional source separation process: In the step of AA decoding, in order to obtain the envelope information of each speech source, it is necessary to extract the information of each speech source from the mixed input speech signal received by the microphone, which brings Additional blind source separation requirements require additional and complex signal processing methods to achieve

Method used

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  • Electroencephalogram assisted beamformer, beamforming method, and ear-worn hearing system
  • Electroencephalogram assisted beamformer, beamforming method, and ear-worn hearing system
  • Electroencephalogram assisted beamformer, beamforming method, and ear-worn hearing system

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Experimental program
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Embodiment 1

[0098] Embodiment 1. A beamformer, comprising:

[0099] means for receiving at least one electroencephalogram (EEG) signal and a plurality of input signals from a plurality of speech sources; and

[0100] means for constructing an optimization model and solving the optimization model, which obtains beamforming weight coefficients for linearly or non-linearly combining the plurality of input signals;

[0101] Wherein, the optimization model includes an optimization formula for obtaining the beamforming weight coefficient, and the optimization formula includes establishing an association between the at least one EEG signal and the beamforming output, and optimizing the association so as to construct a Beamforming weights associated with at least one EEG signal.

Embodiment 2

[0102] Embodiment 2. The beamformer according to embodiment 1, wherein establishing the association between the at least one EEG signal and the beamforming output includes establishing the at least one Correlation between EEG signals and beamforming output.

Embodiment 3

[0103] Embodiment 3. The beamformer according to embodiment 1, wherein establishing the association between the at least one EEG signal and the beamforming output comprises using a linear transformation to establish the at least one EEG signal and the beamforming output Correlation between outputs.

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Abstract

The invention discloses a multi-mode beamformer. The multi-mode beamformer comprises a device for receiving a multi-mode input signal, and a device for constructing an optimization model and solving the optimization mode and obtaining beamforming weight coefficients for linear or non-linear combination of the multi-mode input signal, wherein the optimization model comprises an optimization formulafor obtaining the beamforming weight coefficient; and the optimization formula includes establishing an association between the at least one electroencephalogram signal and a beamforming output, andoptimizing the association to construct a beamforming weight coefficient associated with the at least one electroencephalogram signal.

Description

technical field [0001] The present invention relates to the technical field of hearing aids, in particular to an EEG-assisted multi-mode beamformer used in an ear-worn hearing system, a beamforming method, and an earphone including the beamformer. Wearable hearing system. Background technique [0002] Ear-worn hearing systems are used to assist people suffering from hearing loss by delivering amplified sound to their ear canals. Damage to the outer hair cells of the patient's cochlea results in a loss of frequency resolution of the patient's hearing. As this condition progresses, patients have difficulty distinguishing speech from ambient noise. Simply zooming in won't solve the problem. Therefore, there is a need to help such patients understand speech in noisy environments. Beamformers are often applied in in-the-ear hearing systems to distinguish speech from noise, thereby helping patients understand speech in noisy environments. [0003] On the one hand, the applica...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04R25/00
CPCH04R25/00H04R2225/43H04R25/405A61B5/369A61B5/7257H04R25/40H04R25/505H04R25/604
Inventor 蒲文强J·萧T·张Z-Q·罗
Owner STARKEY LAB INC
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