Shenzhen Goodix Technology Co., Ltd.

Xinshan Wang

Guoliang Li

Hongjing Guo

Hu Zhu

Duan Zeng

Ke Yang

Wenkai Han

Lelin Wang

Na Li

Fahai Chen

The present application relates to the field of signal processing, and in particular, to a hearing aid method and apparatus for noise reduction. A hearing aid method for noise reduction, comprising: identifying a scenario where a user is located; and if detection data contains sample data in a sample database corresponding to the scenario, entering a hearing aid mode, and in the hearing aid mode, playing back all or part of external sounds, the external sounds being acquired by a reference microphone; the sample database is a sample sound library, and the sample data is a sample sound; different scenarios correspond to different sample sound libraries; wherein the sample sounds in respective sample sound libraries are configured with priorities; and the sample sounds in the sample sound libraries corresponding to different scenarios have different priorities.

Hearing aid method and apparatus for noise reduction, chip, headphone and storage medium

Some embodiments of the present disclosure provide a method and an apparatus for forming a differential beam, a method and an apparatus for processing a signal, and a chip. The method for forming a differential beam includes: obtaining a differential beam forming signal according to an input signal acquired by two microphones in a microphone array (); and performing a nonlinear adjustment on at least an amplitude of the differential beam forming signal based on a distance between the two microphones and a signal frequency of the input signal to obtain the adjusted differential beam forming signal (). With the above solution, a constant beam characteristic of the differential beam forming signal can be ensured as much as possible for microphone arrays of different specifications.

Method and apparatus for forming differential beam, method and apparatus for processing signal, and chip

A double talk detection method, a double talk detection apparatus and an echo cancellation system are provided. The double talk detection method comprises: determining, according to an energy ratio between a far-end digital voice signal and a near-end digital voice signal, and a frequency coherence value between the near-end digital voice signal and the far-end digital voice signal, whether a near-end speaker's digital voice signal is present in the near-end digital voice signal. The double talk detection method avoids missing detection and false detection, improves the accuracy of double talk detection, cancels the echo in the near-end voice signal thoroughly when applied in the field of echo cancellation, and improves the communication experience of both talk parties.

Double talk detection method, double talk detection apparatus and echo cancellation system

A heart rate detection method includes: acquiring a plurality of time-domain heart rate detection data; if the time-domain heart rate detection data includes a weak interference signal, extracting a first feature point from the time-domain heart rate detection data, and collecting statistics on feature data of the first feature point to determine time-domain heart rate detection data used in calculating heart rate; if the time-domain heart rate detection data includes a strong interference signal, transforming the time-domain heart rate detection data to a frequency domain to obtain a plurality of frequency-domain heart rate detection data, extracting a second feature point from the frequency-domain heart rate detection data, and collecting statistics on feature data of the second feature point to determine frequency-domain heart rate detection data used in calculating heart rate; and calculating the heart rate based on the time-domain or the frequency-domain heart rate detection data.

Heart rate detection method and apparatus, and electronic terminal thereof

The present disclosure provides a speech enhancement method and apparatus, a device and a storage medium. The method includes: acquiring a first speech signal and a second speech signal; obtaining a signal to noise ratio of the first speech signal; determining, according to the signal to noise ratio of the first speech signal, a fusion coefficient of filtered signals corresponding to the first speech signal and the second speech signal; and performing, according to the fusion coefficient, speech fusion processing on the filtered signals corresponding to the first speech signal and the second speech signal to obtain an enhanced speech signal. Thereby, it is realized that a fusion coefficient of speech signals of a non-air conduction speech sensor and an air conduction speech sensor is adaptively adjusted according to environment noise, thereby improving the signal quality after speech fusion, and improving the effect of speech enhancement.

Speech enhancement method and apparatus, device and storage medium

A method for eliminating motion interference includes: performing dimensionality reduction on the multi-dimensional acceleration signal to obtain a one-dimensional acceleration signal that represents motion interference; mixing the first signal and the second signal through a plurality of preset coefficients rrespectively, so as to calculate a plurality of mixed signals corresponding to the plurality of preset coefficients; calculating a correlation coefficient between each of the mixed signals and the one-dimensional acceleration signal; obtaining a preset coefficient corresponding to the maximum correlation coefficient among the correlation coefficients and a preset coefficient corresponding to the minimum correlation coefficient among the correlation coefficients; and calculating a signal with motion interference being eliminated from the measurement signal to be processed, according to the first signal, the second signal, the preset coefficient corresponding to the maximum correlation coefficient, and the preset coefficient corresponding to the minimum correlation coefficient.

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Shenzhen, China

Xinshan Wang