公开(公告)号：US10720959B2

公开(公告)日：2020-07-21

申请号：US16147955

申请日：2018-10-01

Applicant: British Cayman Islands Intelligo Technology Inc.

Inventor： Yao-Chun Liu ,  Chun-Hung Chen ,  Chen-Chu Hsu ,  Tsung-Liang Chen

IPC: H04B1/713 ,  H04B11/00 ,  H04B1/707 ,  H04J13/00

Abstract: A spread spectrum based audio frequency communication system at least includes a transmitting apparatus. The transmitting apparatus includes a first dot-product module, a summation module, a transmitting modulation module, a mixture module, a digital-to-analog converter, and a transmitter. The first dot-product module is configured to perform a dot-product of a first data and a first pseudo-noise code, and derive a first spreading data. The summation module is configured to sum up the first spreading data and a second spreading data to form a summed data. The transmitting modulation module is configured to vary a carrier signal with the summed data to form a modulated signal. The mixture module is configured to mix the modulated signal and an acoustic signal up to form a mixed signal. The digital-to-analog converter is configured to convert the mixed signal into acoustic waves. The transmitter transmits the acoustic waves.

公开(公告)号：US11647344B2

公开(公告)日：2023-05-09

申请号：US17592006

申请日：2022-02-03

Applicant: British Cayman Islands Intelligo Technology Inc.

Inventor： Ting-Yao Chen ,  Chen-Chu Hsu ,  Yao-Chun Liu ,  Tsung-Liang Chen

IPC: H04R25/00 ,  H04R1/10

CPC classification number: H04R25/507 ,  H04R1/1083 ,  H04R25/353

Abstract: A hearing device is disclosed, comprising a main microphone, M auxiliary microphones, a transform circuit, a processor, a memory and a post-processing circuit. The transform circuit transforms first sample values in current frames of a main audio signal and M auxiliary audio signals from the microphones into a main and M auxiliary spectral representations. The memory includes instructions to be executed by the processor to perform operations comprising: performing ANC over the first sample values using an end-to-end neural network to generate second sample values; and, performing audio signal processing over the main and the M auxiliary spectral representations using the end-to-end neural network to generate a compensation mask. The post-processing circuit modifies the main spectral representation with the compensation mask to generate a compensated spectral representation, and generates an output audio signal according to the second sample values and the compensated spectral representation.

公开(公告)号：US11315586B2

公开(公告)日：2022-04-26

申请号：US17039445

申请日：2020-09-30

Applicant: BRITISH CAYMAN ISLANDS INTELLIGO TECHNOLOGY INC.

Inventor： Bing-Han Huang ,  Chun-Ming Huang ,  Te-Lung Kung ,  Hsin-Te Hwang ,  Yao-Chun Liu ,  Chen-Chu Hsu ,  Tsung-Liang Chen

IPC: G10L21/0208 ,  G10L25/21 ,  G10L25/30

Abstract: A speech enhancement apparatus is disclosed and comprises an adaptive noise cancellation circuit, a blending circuit, a noise suppressor and a control module. The ANC circuit filters a reference signal to generate a noise estimate and subtracts a noise estimate from a primary signal to generate a signal estimate based on a control signal. The blending circuit blends the primary signal and the signal estimate to produce a blended signal. The noise suppressor suppresses noise over the blended signal using a first trained model to generate an enhanced signal and a main spectral representation from a main microphone and M auxiliary spectral representations from M auxiliary microphones using (M+1) second trained models to generate a main score and M auxiliary scores. The ANC circuit, the noise suppressor and the trained models are well combined to maximize the performance of the speech enhancement apparatus.