Voice activity detection method, noise inhibition method and noise inhibition system

A voice activity detection and noise suppression technology, which is applied in voice analysis and instruments, can solve problems such as detection errors and poor detection results, and achieve the goals of reducing power consumption, improving voice clarity and intelligibility, and improving accuracy Effect

Inactive Publication Date: 2019-06-21
BESTECHNIC SHANGHAI CO LTD
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Problems solved by technology

[0005] However, in the prior art, the accuracy of voice activity detection is improved by setting sensors to obtain vibration signals. It still uses the traditional algorithm to judge whether there is a wearer's call voice from the vibration signal, and the detection effect is not good. During the voice activity detection process There will still be detection errors in the

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  • Voice activity detection method, noise inhibition method and noise inhibition system
  • Voice activity detection method, noise inhibition method and noise inhibition system
  • Voice activity detection method, noise inhibition method and noise inhibition system

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[0040] The objects and functions of the present invention and methods for achieving the objects and functions will be clarified by referring to the exemplary embodiments. However, the present invention is not limited to the exemplary embodiments disclosed below; it can be implemented in various forms. The essence of the description is only to help those skilled in the relevant art comprehensively understand the specific details of the present invention.

[0041] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. In the drawings, the same reference numerals represent the same or similar components, or the same or similar steps. In order to solve the defect of inaccurate voice activity detection in the prior art of sensor data and microphone data processing, the present invention proposes a voice activity detection method.

[0042] In order to make the content of the present invention clearly described, at first the...

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Abstract

The invention provides a voice activity detection method, which comprises the following steps of obtaining voice signals collected by a microphone and vibration signals collected by a sensor; converting the voice signals from a time domain to a frequency domain; converting the vibration signals from the time domain to the frequency domain; calculating the frequency domain correlation coefficient by using the voice signal and the vibration signals; calculating the detection quantity in the detection frequency range; when the detection quantity is higher than a preset threshold value, judging the voice signals collected by the microphone to be speaking voice of a wearer; otherwise, judging the voice signals collected by the microphone to have noise or interference signals. By calculating thefrequency domain correlation coefficient, the detection quantity is calculated in the detection frequency range, the voice activity detection accuracy is improved; the noise inhibition definition andthe intelligibility of the noise inhibition are improved.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a voice activity detection method, a noise suppression method and a noise suppression system. Background technique [0002] With the development of society and the advancement of science and technology, earphones have gradually become a necessity in people's lives. When playing audio and talking on the phone, people often use earphones to achieve it. For wireless smart headphones with built-in voice assistants, it can help users check the weather, answer calls, broadcast the weather, monitor heart rate, etc. The intelligent music recommendation system based on deep learning will also be based on the user's listening habits, real-time heart rate, activity scenes, etc. , to provide accurate and diverse music recommendations, but wireless smart headphones with built-in voice assistants need to use Voice Activity Detection (VAD) to determine whether someone is speakin...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L25/78G10L21/0216G10L21/0208
Inventor 李倩
Owner BESTECHNIC SHANGHAI CO LTD
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